diff --git a/artifact/bench_comparison.py b/artifact/bench_comparison.py
index 0445a82..4e43c68 100644
--- a/artifact/bench_comparison.py
+++ b/artifact/bench_comparison.py
@@ -1,5 +1,6 @@
 import csv
 import common_util
+from common_util import plot, calculate_averages_comparison
 from multiprocessing import Pool
 from matplotlib import pyplot as plt
 import numpy as np
@@ -8,7 +9,7 @@
 cmd = [
     "linpack",
     "llama",
-    "rgbd_tum",
+    # "rgbd_tum",
     "bt",
     "cg",
     "ft",
@@ -21,7 +22,7 @@
 folder = [
     "linpack",
     "llama",
-    "ORB_SLAM2",
+    # "ORB_SLAM2",
     "nas",
     "nas",
     "nas",
@@ -34,7 +35,7 @@
 arg = [
     [],
     ["stories110M.bin", "-z", "tokenizer.bin", "-t", "0.0"],
-    ["./ORBvoc.txt", "./TUM3.yaml", "./", "./associations/fr1_xyz.txt"],
+    # ["./ORBvoc.txt", "./TUM3.yaml", "./", "./associations/fr1_xyz.txt"],
     [],
     [],
     [],
@@ -47,7 +48,7 @@
 envs = [
     "a=b",
     "OMP_NUM_THREADS=1",
-    "a=b",
+    # "a=b",
     "OMP_NUM_THREADS=1",
     "OMP_NUM_THREADS=1",
     "OMP_NUM_THREADS=1",
@@ -59,6 +60,7 @@
 ]
 pool = Pool(processes=20)
 
+
 def run_mvvm():
     results = []
     results1 = []
@@ -112,7 +114,9 @@ def run_hcontainer():
                     try:
                         from datetime import datetime
 
-                        time_object = datetime.strptime(line.split()[2].replace("elapsed", ""), "%H:%M:%S").time()
+                        time_object = datetime.strptime(
+                            line.split()[2].replace("elapsed", ""), "%H:%M:%S"
+                        ).time()
                         print(time_object)
                     except:
                         exec_time = float(line.split()[0].replace("user", ""))
@@ -154,7 +158,9 @@ def run_qemu_x86_64():
                     try:
                         from datetime import datetime
 
-                        time_object = datetime.strptime(line.split()[2].replace("elapsed", ""), "%H:%M:%S").time()
+                        time_object = datetime.strptime(
+                            line.split()[2].replace("elapsed", ""), "%H:%M:%S"
+                        ).time()
                         print(time_object)
                     except:
                         exec_time = float(line.split()[0].replace("user", ""))
@@ -195,7 +201,9 @@ def run_qemu_aarch64():
                     try:
                         from datetime import datetime
 
-                        time_object = datetime.strptime(line.split()[2].replace("elapsed", ""), "%H:%M:%S").time()
+                        time_object = datetime.strptime(
+                            line.split()[2].replace("elapsed", ""), "%H:%M:%S"
+                        ).time()
                         print(time_object)
                     except:
                         exec_time = float(line.split()[0].replace("user", ""))
@@ -236,7 +244,9 @@ def run_native():
                     try:
                         from datetime import datetime
 
-                        time_object = datetime.strptime(line.split()[2].replace("elapsed", ""), "%H:%M:%S").time()
+                        time_object = datetime.strptime(
+                            line.split()[2].replace("elapsed", ""), "%H:%M:%S"
+                        ).time()
                         print(time_object)
                     except:
                         exec_time = float(line.split()[0].replace("user", ""))
@@ -266,56 +276,136 @@ def write_to_csv(filename):
                     native_results[idx][1],
                 ]
             )
+
+
 def read_from_csv(filename):
     with open(filename, "r") as csvfile:
         reader = csv.reader(csvfile)
         next(reader)
         results = []
         for row in reader:
-            results.append((row[0], float(row[1]), float(row[2]), float(row[3]), float(row[4]), float(row[5])))
+            results.append(
+                (
+                    row[0],
+                    float(row[1]),
+                    float(row[2]),
+                    float(row[3]),
+                    float(row[4]),
+                    float(row[5]),
+                )
+            )
         return results
 
-def plot(results):
-    font = {'size': 18}
- 
-    plt.rc('font', **font)
-    workloads = defaultdict(list)
-    for workload, mvvm_values,hcontainer_values, qemu_x86_64_values,qemu_aarch64_values,native_values in results:
-            workloads[
-                workload.replace("OMP_NUM_THREADS=", "")
-                .replace("-g20", "")
-                .replace("-n300", "")
-                .replace(" -f ", "")
-                .replace("-vn300", "")
-                .replace("maze-6404.txt", "")
-                .replace("stories110M.bin", "")
-                .replace("-z tokenizer.bin -t 0.0", "").replace("a=b", "")
-                .strip()
-            ].append(( hcontainer_values, mvvm_values, qemu_x86_64_values,qemu_aarch64_values,native_values))
 
+def plot(results, results1):
+    font = {"size": 20}
+    plt.tight_layout()
+    plt.rc("font", **font)
+    workloads = defaultdict(list)
+    workloads1 = defaultdict(list)
+    for (
+        workload,
+        mvvm_values,
+        hcontainer_values,
+        qemu_x86_64_values,
+        qemu_aarch64_values,
+        native_values,
+    ) in results:
+        if not workload.__contains__("sp") and not workload.__contains__("lu") and not workload.__contains__("tc"):
+            workloads[workload.split(" ")[1].replace(".aot", "")].append(
+                (
+                    hcontainer_values,
+                    mvvm_values,
+                    qemu_x86_64_values,
+                    qemu_aarch64_values,
+                    native_values,
+                )
+            )
     statistics = {}
     for workload, times in workloads.items():
-        hcontainer_values, mvvm_values, qemu_x86_64_values,qemu_aarch64_values,native_values= zip(*times)
+        (
+            hcontainer_values,
+            mvvm_values,
+            qemu_x86_64_values,
+            qemu_aarch64_values,
+            native_values,
+        ) = zip(*times)
         statistics[workload] = {
             "hcontainer_median": np.median(hcontainer_values),
             "mvvm_median": np.median(mvvm_values),
-            "qemu_x86_64_median" :np.median(qemu_x86_64_values),
-            "qemu_aarch64_median" :np.median(qemu_aarch64_values),
-            "native_median" :np.median(native_values),
+            "qemu_x86_64_median": np.median(qemu_x86_64_values),
+            "qemu_aarch64_median": np.median(qemu_aarch64_values),
+            "native_median": np.median(native_values),
             "hcontainer_std": np.std(hcontainer_values),
             "mvvm_std": np.std(mvvm_values),
-            "qemu_x86_64_std" :np.std(qemu_x86_64_values),
-            "qemu_aarch64_std" :np.std(qemu_aarch64_values),
-            "native_std" :np.std(native_values),
+            "qemu_x86_64_std": np.std(qemu_x86_64_values),
+            "qemu_aarch64_std": np.std(qemu_aarch64_values),
+            "native_std": np.std(native_values),
+        }
+    for (
+        workload,
+        mvvm_values,
+        hcontainer_values,
+        qemu_x86_64_values,
+        qemu_aarch64_values,
+        native_values,
+    ) in results1:
+        if not workload.__contains__("sp") and not workload.__contains__("lu") and not workload.__contains__("tc"):
+            workloads1[workload.split(" ")[1].replace(".aot", "")].append(
+                (
+                    hcontainer_values,
+                    mvvm_values,
+                    qemu_x86_64_values,
+                    qemu_aarch64_values,
+                    native_values,
+                )
+            )
+    statistics1 = {}
+    for workload, times in workloads1.items():
+        (
+            hcontainer_values,
+            mvvm_values,
+            qemu_x86_64_values,
+            qemu_aarch64_values,
+            native_values,
+        ) = zip(*times)
+        statistics1[workload] = {
+            "hcontainer_median": np.median(hcontainer_values),
+            "mvvm_median": np.median(mvvm_values),
+            "qemu_x86_64_median": np.median(qemu_x86_64_values),
+            "qemu_aarch64_median": np.median(qemu_aarch64_values),
+            "native_median": np.median(native_values),
+            "hcontainer_std": np.std(hcontainer_values),
+            "mvvm_std": np.std(mvvm_values),
+            "qemu_x86_64_std": np.std(qemu_x86_64_values),
+            "qemu_aarch64_std": np.std(qemu_aarch64_values),
+            "native_std": np.std(native_values),
         }
 
     fig, ax = plt.subplots(figsize=(20, 10))
     index = np.arange(len(statistics))
-    bar_width = 0.7/5
+    bar_width = 0.7 / 8
 
     for i, (workload, stats) in enumerate(statistics.items()):
         ax.bar(
             index[i],
+            stats["native_median"],
+            bar_width,
+            yerr=stats["native_std"],
+            capsize=5,
+            color="cyan",
+            label="native" if i == 0 else "",
+        )
+        ax.bar(
+            index[i] + bar_width,
+            statistics1[workload]["native_median"],
+            bar_width,
+            yerr=statistics1[workload]["native_std"],
+            capsize=5,
+            color="cyan",
+        )
+        ax.bar(
+            index[i] + bar_width * 2,
             stats["hcontainer_median"],
             bar_width,
             yerr=stats["hcontainer_std"],
@@ -324,7 +414,16 @@ def plot(results):
             label="hcontainer" if i == 0 else "",
         )
         ax.bar(
-            index[i] + bar_width,
+            index[i] + bar_width * 3,
+            statistics1[workload]["hcontainer_median"],
+            bar_width,
+            yerr=statistics1[workload]["hcontainer_std"],
+            capsize=5,
+            color="blue",
+        )
+
+        ax.bar(
+            index[i] + bar_width * 4,
             stats["mvvm_median"],
             bar_width,
             yerr=stats["mvvm_std"],
@@ -333,7 +432,16 @@ def plot(results):
             label="mvvm" if i == 0 else "",
         )
         ax.bar(
-            index[i]+ bar_width *2,
+            index[i] + bar_width * 5,
+            statistics1[workload]["mvvm_median"],
+            bar_width,
+            yerr=statistics1[workload]["mvvm_std"],
+            capsize=5,
+            color="red",
+        )
+
+        ax.bar(
+            index[i] + bar_width * 6,
             stats["qemu_x86_64_median"],
             bar_width,
             yerr=stats["qemu_x86_64_std"],
@@ -342,7 +450,16 @@ def plot(results):
             label="qemu_x86_64" if i == 0 else "",
         )
         ax.bar(
-            index[i]+ bar_width*3,
+            index[i] + bar_width * 7,
+            statistics1[workload]["qemu_x86_64_median"],
+            bar_width,
+            yerr=statistics1[workload]["qemu_x86_64_std"],
+            capsize=5,
+            color="brown",
+        )
+
+        ax.bar(
+            index[i] + bar_width * 8,
             stats["qemu_aarch64_median"],
             bar_width,
             yerr=stats["qemu_aarch64_std"],
@@ -351,20 +468,20 @@ def plot(results):
             label="qemu_aarch64" if i == 0 else "",
         )
         ax.bar(
-            index[i]+ bar_width*4,
-            stats["native_median"],
+            index[i] + bar_width * 9,
+            statistics1[workload]["qemu_aarch64_median"],
             bar_width,
-            yerr=stats["native_std"],
+            yerr=statistics1[workload]["qemu_aarch64_std"],
             capsize=5,
-            color="cyan",
-            label="native" if i == 0 else "",
+            color="purple",
         )
+
         # ax.set_xlabel(workload)
     ticklabel = (x for x in list(statistics.keys()))
     print(statistics.keys())
-    ax.set_xticks(index)
+    ax.set_xticks(index + bar_width * 4)
 
-    ax.set_xticklabels(ticklabel,fontsize =10)
+    ax.set_xticklabels(ticklabel, fontsize=20)
     ax.set_ylabel("Execution time (s)")
     ax.legend()
 
@@ -375,14 +492,24 @@ def plot(results):
 
 
 if __name__ == "__main__":
-    mvvm_results = run_mvvm()
-    native_results = run_native()
-    qemu_x86_64_results = run_qemu_x86_64()
-    # # print the results
-    qemu_aarch64_results = run_qemu_aarch64()
-    hcontainer_results = run_hcontainer()
-
-    write_to_csv("comparison.csv")
-    
+    # mvvm_results = [("a=b linpack.aot",34.021069),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",29.995634),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",29.995634),("OMP_NUM_THREADS=1 bt.aot",97.646537),("OMP_NUM_THREADS=1 cg.aot",37.130862),("OMP_NUM_THREADS=1 ft.aot",46.20586),("OMP_NUM_THREADS=1 lu.aot",0.050734),("OMP_NUM_THREADS=1 mg.aot",29.199269),("OMP_NUM_THREADS=1 sp.aot",16.257109),("a=b redis.aot",296.145142),("a=b hdastar.aot maze-6404.txt 8",11.045916),("a=b linpack.aot",34.206223),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",27.570724),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",27.570724),("OMP_NUM_THREADS=1 bt.aot",95.72704),("OMP_NUM_THREADS=1 cg.aot",35.174173),("OMP_NUM_THREADS=1 ft.aot",46.675348),("OMP_NUM_THREADS=1 lu.aot",0.058697),("OMP_NUM_THREADS=1 mg.aot",31.437348),("OMP_NUM_THREADS=1 sp.aot",17.091653),("a=b redis.aot",288.328081),("a=b hdastar.aot maze-6404.txt 8",11.405105),("a=b linpack.aot",35.299232),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",28.656332),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",28.656332),("OMP_NUM_THREADS=1 bt.aot",95.897016),("OMP_NUM_THREADS=1 cg.aot",35.501491),("OMP_NUM_THREADS=1 ft.aot",46.906197),("OMP_NUM_THREADS=1 lu.aot",0.03796),("OMP_NUM_THREADS=1 mg.aot",29.226483),("OMP_NUM_THREADS=1 sp.aot",17.092985),("a=b redis.aot",288.250117),("a=b hdastar.aot maze-6404.txt 8",10.65366),("a=b linpack.aot",33.738135),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",27.527596),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",27.527596),("OMP_NUM_THREADS=1 bt.aot",94.089478),("OMP_NUM_THREADS=1 cg.aot",35.294456),("OMP_NUM_THREADS=1 ft.aot",47.10809),("OMP_NUM_THREADS=1 lu.aot",0.053327),("OMP_NUM_THREADS=1 mg.aot",29.876738),("OMP_NUM_THREADS=1 sp.aot",17.344869),("a=b redis.aot",286.45943),("a=b hdastar.aot maze-6404.txt 8",11.559773),("a=b linpack.aot",33.81198),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",28.370864),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",28.370864),("OMP_NUM_THREADS=1 bt.aot",95.656937),("OMP_NUM_THREADS=1 cg.aot",36.493237),("OMP_NUM_THREADS=1 ft.aot",49.011925),("OMP_NUM_THREADS=1 lu.aot",0.050512),("OMP_NUM_THREADS=1 mg.aot",30.709787),("OMP_NUM_THREADS=1 sp.aot",17.512012),("a=b redis.aot",283.937262),("a=b hdastar.aot maze-6404.txt 8",11.183503),("a=b linpack.aot",32.98269),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",29.27254),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",29.27254),("OMP_NUM_THREADS=1 bt.aot",95.943804),("OMP_NUM_THREADS=1 cg.aot",36.596166),("OMP_NUM_THREADS=1 ft.aot",47.009408),("OMP_NUM_THREADS=1 lu.aot",0.044345),("OMP_NUM_THREADS=1 mg.aot",29.069261),("OMP_NUM_THREADS=1 sp.aot",17.241978),("a=b redis.aot",287.613588),("a=b hdastar.aot maze-6404.txt 8",11.186353),("a=b linpack.aot",33.10233),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",28.730093),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",28.730093),("OMP_NUM_THREADS=1 bt.aot",97.747853),("OMP_NUM_THREADS=1 cg.aot",36.673356),("OMP_NUM_THREADS=1 ft.aot",46.847511),("OMP_NUM_THREADS=1 lu.aot",0.052715),("OMP_NUM_THREADS=1 mg.aot",30.12969),("OMP_NUM_THREADS=1 sp.aot",16.956676),("a=b redis.aot",280.486803),("a=b hdastar.aot maze-6404.txt 8",11.134241),("a=b linpack.aot",35.097291),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",28.005771),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",28.005771),("OMP_NUM_THREADS=1 bt.aot",96.974046),("OMP_NUM_THREADS=1 cg.aot",36.951569),("OMP_NUM_THREADS=1 ft.aot",48.541943),("OMP_NUM_THREADS=1 lu.aot",0.063633),("OMP_NUM_THREADS=1 mg.aot",31.42804),("OMP_NUM_THREADS=1 sp.aot",16.8186),("a=b redis.aot",275.056764),("a=b hdastar.aot maze-6404.txt 8",11.378461),("a=b linpack.aot",33.157102),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",27.924637),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",27.924637),("OMP_NUM_THREADS=1 bt.aot",95.841526),("OMP_NUM_THREADS=1 cg.aot",35.334907),("OMP_NUM_THREADS=1 ft.aot",47.986966),("OMP_NUM_THREADS=1 lu.aot",0.061085),("OMP_NUM_THREADS=1 mg.aot",29.009124),("OMP_NUM_THREADS=1 sp.aot",17.008031),("a=b redis.aot",263.225509),("a=b hdastar.aot maze-6404.txt 8",9.820092),("a=b linpack.aot",32.903653),("OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0",28.312841),("a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt",28.312841),("OMP_NUM_THREADS=1 bt.aot",89.99542),("OMP_NUM_THREADS=1 cg.aot",34.771269),("OMP_NUM_THREADS=1 ft.aot",44.030195),("OMP_NUM_THREADS=1 lu.aot",0.046369),("OMP_NUM_THREADS=1 mg.aot",29.505974),("OMP_NUM_THREADS=1 sp.aot",17.565224),("a=b redis.aot",250.541232),("a=b hdastar.aot maze-6404.txt 8",12.546132)]
+    # # print("mvvm_results=", mvvm_results)
+    # # native_results = run_native()
+    # # print("native_results=", native_results)
+    # native_results= [('a=b linpack', 34.025), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 26.027), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.004), ('OMP_NUM_THREADS=1 bt', 57.026), ('OMP_NUM_THREADS=1 cg', 23.001), ('OMP_NUM_THREADS=1 ft', 33.019), ('OMP_NUM_THREADS=1 lu', 0.007), ('OMP_NUM_THREADS=1 mg', 11.0), ('OMP_NUM_THREADS=1 sp', 2.0), ('a=b redis', 23.039), ('a=b hdastar maze-6404.txt 8', 4.051), ('a=b linpack', 32.026), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 25.078), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.005), ('OMP_NUM_THREADS=1 bt', 54.019), ('OMP_NUM_THREADS=1 cg', 21.093), ('OMP_NUM_THREADS=1 ft', 30.087), ('OMP_NUM_THREADS=1 lu', 0.007), ('OMP_NUM_THREADS=1 mg', 12.052), ('OMP_NUM_THREADS=1 sp', 1.08), ('a=b redis', 21.027), ('a=b hdastar maze-6404.txt 8', 5.011), ('a=b linpack', 33.02), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 25.067), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 54.022), ('OMP_NUM_THREADS=1 cg', 22.06), ('OMP_NUM_THREADS=1 ft', 32.004), ('OMP_NUM_THREADS=1 lu', 0.003), ('OMP_NUM_THREADS=1 mg', 10.067), ('OMP_NUM_THREADS=1 sp', 1.024), ('a=b redis', 20.034), ('a=b hdastar maze-6404.txt 8', 4.078), ('a=b linpack', 32.025), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 29.091), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.002), ('OMP_NUM_THREADS=1 bt', 53.063), ('OMP_NUM_THREADS=1 cg', 21.099), ('OMP_NUM_THREADS=1 ft', 30.027), ('OMP_NUM_THREADS=1 lu', 0.004), ('OMP_NUM_THREADS=1 mg', 10.026), ('OMP_NUM_THREADS=1 sp', 1.023), ('a=b redis', 25.023), ('a=b hdastar maze-6404.txt 8', 25.023), ('a=b linpack', 32.021), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 30.077), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.002), ('OMP_NUM_THREADS=1 bt', 53.075), ('OMP_NUM_THREADS=1 cg', 22.039), ('OMP_NUM_THREADS=1 ft', 31.062), ('OMP_NUM_THREADS=1 lu', 0.004), ('OMP_NUM_THREADS=1 mg', 10.059), ('OMP_NUM_THREADS=1 sp', 1.03), ('a=b redis', 18.038), ('a=b hdastar maze-6404.txt 8', 6.082), ('a=b linpack', 31.094), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 29.044), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 53.048), ('OMP_NUM_THREADS=1 cg', 21.052), ('OMP_NUM_THREADS=1 ft', 31.047), ('OMP_NUM_THREADS=1 lu', 0.003), ('OMP_NUM_THREADS=1 mg', 13.042), ('OMP_NUM_THREADS=1 sp', 1.024), ('a=b redis', 19.006), ('a=b hdastar maze-6404.txt 8', 7.05), ('a=b linpack', 32.075), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 25.041), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.004), ('OMP_NUM_THREADS=1 bt', 52.045), ('OMP_NUM_THREADS=1 cg', 22.087), ('OMP_NUM_THREADS=1 ft', 32.04), ('OMP_NUM_THREADS=1 lu', 0.008), ('OMP_NUM_THREADS=1 mg', 10.067), ('OMP_NUM_THREADS=1 sp', 1.063), ('a=b redis', 20.054), ('a=b hdastar maze-6404.txt 8', 5.033), ('a=b linpack', 33.081), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 25.064), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.004), ('OMP_NUM_THREADS=1 bt', 51.014), ('OMP_NUM_THREADS=1 cg', 21.089), ('OMP_NUM_THREADS=1 ft', 32.032), ('OMP_NUM_THREADS=1 lu', 0.003), ('OMP_NUM_THREADS=1 mg', 10.04), ('OMP_NUM_THREADS=1 sp', 1.024), ('a=b redis', 19.049), ('a=b hdastar maze-6404.txt 8', 5.041), ('a=b linpack', 32.081), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 29.003), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 49.034), ('OMP_NUM_THREADS=1 cg', 22.002), ('OMP_NUM_THREADS=1 ft', 31.013), ('OMP_NUM_THREADS=1 lu', 0.003), ('OMP_NUM_THREADS=1 mg', 10.027), ('OMP_NUM_THREADS=1 sp', 1.023), ('a=b redis', 20.073), ('a=b hdastar maze-6404.txt 8', 4.035), ('a=b linpack', 30.021), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 28.049), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 46.038), ('OMP_NUM_THREADS=1 cg', 21.04), ('OMP_NUM_THREADS=1 ft', 28.06), ('OMP_NUM_THREADS=1 lu', 0.003), ('OMP_NUM_THREADS=1 mg', 10.045), ('OMP_NUM_THREADS=1 sp', 1.02), ('a=b redis', 18.048), ('a=b hdastar maze-6404.txt 8', 4.081)]
+    # # qemu_x86_64_results = run_qemu_x86_64()
+    # qemu_x86_64_results = [('a=b linpack', 35.096), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5618), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.006), ('OMP_NUM_THREADS=1 bt', 7830), ('OMP_NUM_THREADS=1 cg', 660.065), ('OMP_NUM_THREADS=1 ft', 7611), ('OMP_NUM_THREADS=1 lu', 3.046), ('OMP_NUM_THREADS=1 mg', 3361.038), ('OMP_NUM_THREADS=1 sp', 155.066), ('a=b redis', 119.01), ('a=b hdastar maze-6404.txt 8', 11.001), ('a=b linpack', 36.014), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5615), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.005), ('OMP_NUM_THREADS=1 bt', 0.005), ('OMP_NUM_THREADS=1 cg', 660.004), ('OMP_NUM_THREADS=1 ft', 660.004), ('OMP_NUM_THREADS=1 lu', 3.031), ('OMP_NUM_THREADS=1 mg', 3413.076), ('OMP_NUM_THREADS=1 sp', 155.022), ('a=b redis', 211.012), ('a=b hdastar maze-6404.txt 8', 9.052), ('a=b linpack', 39.049), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 39.049), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.003), ('OMP_NUM_THREADS=1 bt', 0.003), ('OMP_NUM_THREADS=1 cg', 654.092), ('OMP_NUM_THREADS=1 ft', 654.092), ('OMP_NUM_THREADS=1 lu', 2.075), ('OMP_NUM_THREADS=1 mg', 3404.098), ('OMP_NUM_THREADS=1 sp', 182.026), ('a=b redis', 281.051), ('a=b hdastar maze-6404.txt 8', 281.051), ('a=b linpack', 63.074), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 6267), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.003), ('OMP_NUM_THREADS=1 bt', 0.003), ('OMP_NUM_THREADS=1 cg', 634.09), ('OMP_NUM_THREADS=1 ft', 7436), ('OMP_NUM_THREADS=1 lu', 2.082), ('OMP_NUM_THREADS=1 mg', 3368.078), ('OMP_NUM_THREADS=1 sp', 154.015), ('a=b redis', 336.001), ('a=b hdastar maze-6404.txt 8', 336.001), ('a=b linpack', 144.05), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 7414), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.003), ('OMP_NUM_THREADS=1 bt', 7462), ('OMP_NUM_THREADS=1 cg', 613.075), ('OMP_NUM_THREADS=1 ft', 6135), ('OMP_NUM_THREADS=1 lu', 2.081), ('OMP_NUM_THREADS=1 mg', 3269.094), ('OMP_NUM_THREADS=1 sp', 153.095), ('a=b redis', 261.009), ('a=b hdastar maze-6404.txt 8', 261.009), ('a=b linpack', 36.009), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5431), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.005), ('OMP_NUM_THREADS=1 bt', 7536), ('OMP_NUM_THREADS=1 cg', 620.086), ('OMP_NUM_THREADS=1 ft', 6205), ('OMP_NUM_THREADS=1 lu', 2.068), ('OMP_NUM_THREADS=1 mg', 3256.077), ('OMP_NUM_THREADS=1 sp', 156.033), ('a=b redis', 236.085), ('a=b hdastar maze-6404.txt 8', 12.052), ('a=b linpack', 35.063), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 6234), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.004), ('OMP_NUM_THREADS=1 bt', 7416), ('OMP_NUM_THREADS=1 cg', 617.067), ('OMP_NUM_THREADS=1 ft', 6235), ('OMP_NUM_THREADS=1 lu', 2.089), ('OMP_NUM_THREADS=1 mg', 3264.088), ('OMP_NUM_THREADS=1 sp', 153.005), ('a=b redis', 231.013), ('a=b hdastar maze-6404.txt 8', 231.013), ('a=b linpack', 35.084), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5530), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.002), ('OMP_NUM_THREADS=1 bt', 7580), ('OMP_NUM_THREADS=1 cg', 651.054), ('OMP_NUM_THREADS=1 ft', 7391), ('OMP_NUM_THREADS=1 lu', 2.035), ('OMP_NUM_THREADS=1 mg', 3263.014), ('OMP_NUM_THREADS=1 sp', 154.016), ('a=b redis', 256.025), ('a=b hdastar maze-6404.txt 8',43730), ('a=b linpack', 37.063), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5513), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.002), ('OMP_NUM_THREADS=1 bt', >>>), ('OMP_NUM_THREADS=1 cg', 623.095), ('OMP_NUM_THREADS=1 ft', 7223), ('OMP_NUM_THREADS=1 lu', 2.035), ('OMP_NUM_THREADS=1 mg', 3232.095), ('OMP_NUM_THREADS=1 sp', 153.046), ('a=b redis', 228.085), ('a=b hdastar maze-6404.txt 8', 9.048), ('a=b linpack', 35.056), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 5228), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.004), ('OMP_NUM_THREADS=1 bt', 6998), ('OMP_NUM_THREADS=1 cg', 615.044), ('OMP_NUM_THREADS=1 ft', 6814), ('OMP_NUM_THREADS=1 lu', 2.037), ('OMP_NUM_THREADS=1 mg', 3164.03), ('OMP_NUM_THREADS=1 sp', 154.067), ('a=b redis', 221.009), ('a=b hdastar maze-6404.txt 8', 10.077)]
+    # # # print the results
+    # # print("qemu_x86_64_results=", qemu_x86_64_results)
+    # qemu_aarch64_results = run_qemu_aarch64()
+    # print("qemu_aarch64_results=", qemu_aarch64_results)
+    # # hcontainer_results = run_hcontainer()
+    # # print("hcontainer_results=", hcontainer_results)
+    # hcontainer_results= [('a=b linpack', 26.038), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 28.023), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 171.037), ('OMP_NUM_THREADS=1 cg', 25.09), ('OMP_NUM_THREADS=1 ft', 69.088), ('OMP_NUM_THREADS=1 lu', 0.02), ('OMP_NUM_THREADS=1 mg', 18.048), ('OMP_NUM_THREADS=1 sp', 1.024), ('a=b redis', 169.013), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 26.05), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 28.085), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 172.038), ('OMP_NUM_THREADS=1 cg', 25.032), ('OMP_NUM_THREADS=1 ft', 73.039), ('OMP_NUM_THREADS=1 lu', 0.02), ('OMP_NUM_THREADS=1 mg', 17.097), ('OMP_NUM_THREADS=1 sp', 1.027), ('a=b redis', 195.034), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 26.023), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 27.098), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 173.055), ('OMP_NUM_THREADS=1 cg', 25.001), ('OMP_NUM_THREADS=1 ft', 71.098), ('OMP_NUM_THREADS=1 lu', 0.004), ('OMP_NUM_THREADS=1 mg', 17.057), ('OMP_NUM_THREADS=1 sp', 1.041), ('a=b redis', 174.041), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 25.092), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 27.087), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 168.01), ('OMP_NUM_THREADS=1 cg', 24.095), ('OMP_NUM_THREADS=1 ft', 72.004), ('OMP_NUM_THREADS=1 lu', 0.005), ('OMP_NUM_THREADS=1 mg', 17.088), ('OMP_NUM_THREADS=1 sp', 1.067), ('a=b redis', 179.019), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 26.064), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 27.061), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 171.028), ('OMP_NUM_THREADS=1 cg', 24.075), ('OMP_NUM_THREADS=1 ft', 72.025), ('OMP_NUM_THREADS=1 lu', 0.005), ('OMP_NUM_THREADS=1 mg', 17.05), ('OMP_NUM_THREADS=1 sp', 1.06), ('a=b redis', 205.011), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 28.047), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 30.028), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 165.071), ('OMP_NUM_THREADS=1 cg', 25.0), ('OMP_NUM_THREADS=1 ft', 71.06), ('OMP_NUM_THREADS=1 lu', 0.005), ('OMP_NUM_THREADS=1 mg', 17.011), ('OMP_NUM_THREADS=1 sp', 1.071), ('a=b redis', 167.011), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 26.087), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 26.099), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 163.098), ('OMP_NUM_THREADS=1 cg', 25.089), ('OMP_NUM_THREADS=1 ft', 66.056), ('OMP_NUM_THREADS=1 lu', 0.006), ('OMP_NUM_THREADS=1 mg', 18.018), ('OMP_NUM_THREADS=1 sp', 1.052), ('a=b redis', 161.032), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 27.05), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 26.082), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 155.076), ('OMP_NUM_THREADS=1 cg', 24.088), ('OMP_NUM_THREADS=1 ft', 68.08), ('OMP_NUM_THREADS=1 lu', 0.004), ('OMP_NUM_THREADS=1 mg', 17.069), ('OMP_NUM_THREADS=1 sp', 1.065), ('a=b redis', 189.096), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 27.053), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 28.003), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 147.058), ('OMP_NUM_THREADS=1 cg', 26.021), ('OMP_NUM_THREADS=1 ft', 64.068), ('OMP_NUM_THREADS=1 lu', 0.005), ('OMP_NUM_THREADS=1 mg', 18.001), ('OMP_NUM_THREADS=1 sp', 1.013), ('a=b redis', 164.056), ('a=b hdastar maze-6404.txt 8', 0.0), ('a=b linpack', 26.035), ('OMP_NUM_THREADS=1 llama stories110M.bin -z tokenizer.bin -t 0.0', 27.024), ('a=b rgbd_tum ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt', 0.0), ('OMP_NUM_THREADS=1 bt', 139.076), ('OMP_NUM_THREADS=1 cg', 24.047), ('OMP_NUM_THREADS=1 ft', 60.056), ('OMP_NUM_THREADS=1 lu', 0.005), ('OMP_NUM_THREADS=1 mg', 17.008), ('OMP_NUM_THREADS=1 sp', 1.023), ('a=b redis', 138.061), ('a=b hdastar maze-6404.txt 8', 0.0)]
+    # write_to_csv("comparison.csv")
+
     results = read_from_csv("comparison.csv")
-    plot(results)
+    print(calculate_averages_comparison(results))
+    results1 = read_from_csv("comparison_mac.csv")
+    print(calculate_averages_comparison(results1))
+    plot(results, results1)
diff --git a/artifact/bench_comparison_gapbs_mac.py b/artifact/bench_comparison_gapbs_mac.py
index 6215d54..773cd26 100644
--- a/artifact/bench_comparison_gapbs_mac.py
+++ b/artifact/bench_comparison_gapbs_mac.py
@@ -311,13 +311,14 @@ def plot(results):
 
 
 if __name__ == "__main__":
-    mvvm_results = run_mvvm()
-    native_results = run_native()
-    qemu_x86_64_results = run_qemu_x86_64()
-    # # print the results
-    qemu_aarch64_results = run_qemu_aarch64()
+    # mvvm_results = run_mvvm()
+    # native_results = run_native()
+    # qemu_x86_64_results = run_qemu_x86_64()
+    # # # print the results
+    # qemu_aarch64_results = run_qemu_aarch64()
 
-    write_to_csv("comparison_gapbs.csv")
+    # write_to_csv("comparison_gapbs.csv")
     
     results = read_from_csv("comparison_gapbs.csv")
     plot(results)
+    
diff --git a/artifact/bench_loop_counter.py b/artifact/bench_loop_counter.py
new file mode 100644
index 0000000..37e46ce
--- /dev/null
+++ b/artifact/bench_loop_counter.py
@@ -0,0 +1,303 @@
+import csv
+import common_util
+from common_util import (
+    plot_loop_counter,
+    plot_loop_counter_snapshot,
+    calculate_loop_counter_averages,
+    aot_variant_freq,
+    calculate_loop_counter_snapshot_averages,
+)
+from multiprocessing import Pool
+
+cmd = [
+    "llama",
+    "bc",
+    "bfs",
+    "cc",
+    "cc_sv",
+    "pr",
+    "pr_spmv",
+    "sssp",
+    "tc",
+    "bt",
+    "cg",
+    "ep",
+    "ft",
+    "lu",
+    "mg",
+    "sp",
+    "redis",
+    # "hdastar",
+]
+folder = [
+    "llama",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "gapbs",
+    "nas",
+    "nas",
+    "nas",
+    "nas",
+    "nas",
+    "nas",
+    "nas",
+    "redis",
+    # "hdastar",
+]
+arg = [
+    ["stories110M.bin", "-z", "tokenizer.bin", "-t", "0.0"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-vn300"],
+    ["-g20", "-n1"],
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+    # ["maze-6404.txt", "8"],
+]
+envs = [
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "OMP_NUM_THREADS=1",
+    "a=b",
+    # "a=b",
+]
+
+pool = Pool(processes=16)
+
+
+def run_mvvm():
+    results = [[] for _ in range(len(aot_variant_freq))]
+    name = []
+    results1 = []
+    for _ in range(common_util.trial):
+        for i in range(len(cmd)):
+            for j in range(len(common_util.aot_variant_freq)):
+                aot = cmd[i] + common_util.aot_variant_freq[j]
+                results1.append(
+                    pool.apply_async(common_util.run, (aot, arg[i], envs[i]))
+                )
+    # print the results
+    results1 = [x.get() for x in results1]
+    exec_time = ""
+    for exec, output in results1:
+        lines = output.split("\n")
+        for line in lines:
+            if line.__contains__("Execution time:"):
+                exec_time = line.split(" ")[-2]
+                # print(exec, exec_time)
+
+        for a in common_util.aot_variant_freq:
+            if exec.__contains__(a):
+                if a == "-ckpt-loop-counter-1.aot":
+                    results[0].append(exec_time)
+                elif a == "-ckpt-loop-counter-4.aot":
+                    results[1].append(exec_time)
+                elif a == "-ckpt-loop-counter-8.aot":
+                    results[2].append(exec_time)
+                elif a == "-ckpt-loop-counter-16.aot":
+                    results[3].append(exec_time)
+                elif a == "-ckpt-loop-counter-20.aot":
+                    results[4].append(exec_time)
+                elif a == "-ckpt-loop-counter-30.aot":
+                    results[5].append(exec_time)
+                elif a == "-ckpt-loop-pgo.aot":
+                    results[6].append(exec_time)
+                elif a == "-pure.aot":
+                    results[8].append(exec_time)
+                elif (
+                    a == ".aot"
+                    and not exec.__contains__("-ckpt-loop-counter-1.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-4.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-8.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-16.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-20.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-30.aot")
+                    and not exec.__contains__("-ckpt-loop-pgo.aot")
+                    and not exec.__contains__("-pure.aot")
+                ):
+                    results[7].append(exec_time)
+                    name.append(exec)
+    final_results = list(zip(name, *results))
+    print(results)
+    return final_results
+
+
+def run_mvvm_profile():
+    results1 = []
+    # for _ in range(common_util.trial):
+    for i in range(len(cmd)):
+        # for j in range(len(common_util.aot_variant_freq)):
+        aot = cmd[i] + "-ckpt-loop-pgo.aot"
+        results1.append(
+            pool.apply_async(common_util.run_profile, (aot, arg[i], envs[i]))
+        )
+    results1 = [x.get() for x in results1]
+
+
+def run_mvvm_snapshot():
+    results = [[] for _ in range(len(aot_variant_freq))]
+    name = []
+    results1 = []
+    for _ in range(common_util.trial):
+        for i in range(len(cmd)):
+            for j in range(len(common_util.aot_variant_freq)):
+                aot = cmd[i] + common_util.aot_variant_freq[j]
+                results1.append(
+                    pool.apply_async(common_util.run_checkpoint, (aot, arg[i], envs[i]))
+                )
+    # print the results
+    results1 = [x.get() for x in results1]
+    exec_time = ""
+    for exec, output in results1:
+        lines = output.split("\n")
+        for line in lines:
+            if line.__contains__("Snapshot Overhead:"):
+                exec_time = line.split(" ")[-2]
+                # print(exec, exec_time)
+
+        for a in common_util.aot_variant_freq:
+            if exec.__contains__(a):
+                if a == "-ckpt-loop-counter-1.aot":
+                    results[0].append(exec_time)
+                elif a == "-ckpt-loop-counter-4.aot":
+                    results[1].append(exec_time)
+                elif a == "-ckpt-loop-counter-8.aot":
+                    results[2].append(exec_time)
+                elif a == "-ckpt-loop-counter-16.aot":
+                    results[3].append(exec_time)
+                elif a == "-ckpt-loop-counter-20.aot":
+                    results[4].append(exec_time)
+                elif a == "-ckpt-loop-counter-30.aot":
+                    results[5].append(exec_time)
+                elif a == "-ckpt-loop-pgo.aot":
+                    results[6].append(exec_time)
+                elif a == "-pure.aot":
+                    results[8].append(exec_time)
+                elif (
+                    a == ".aot"
+                    and not exec.__contains__("-ckpt-loop-counter-1.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-4.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-8.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-16.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-20.aot")
+                    and not exec.__contains__("-ckpt-loop-counter-30.aot")
+                    and not exec.__contains__("-ckpt-loop-pgo.aot")
+                    and not exec.__contains__("-pure.aot")
+                ):
+                    results[7].append(exec_time)
+                    name.append(exec)
+    final_results = list(zip(name, *results))
+    print(results)
+    return final_results
+
+
+def write_to_csv(filename):
+    # 'data' is a list of tuples, e.g., [(checkpoint_result_0, checkpoint_result_1, restore_result_2), ...]
+    with open(filename, "a+", newline="") as csvfile:
+        writer = csv.writer(csvfile)
+        # Optionally write headers
+        writer.writerow(["name", *aot_variant_freq])
+
+        # Write the data
+        for idx, row in enumerate(mvvm_results):
+            writer.writerow(
+                [
+                    row[0],
+                    row[1],
+                    row[2],
+                    row[3],
+                    row[4],
+                    row[5],
+                    row[6],
+                    row[7],
+                    row[8],
+                    row[9],
+                ]
+            )
+
+
+def read_from_csv(filename):
+    with open(filename, "r") as csvfile:
+        reader = csv.reader(csvfile)
+        next(reader)
+        results = []
+        for row in reader:
+            results.append(
+                (
+                    row[0],
+                    float(row[1]),
+                    float(row[2]),
+                    float(row[3]),
+                    float(row[4]),
+                    float(row[5]),
+                    float(row[6]),
+                    float(row[7]),
+                    float(row[8]),
+                    float(row[9]),
+                )
+            )
+        return results
+
+
+def read_from_csv_snapshot(filename):
+    with open(filename, "r") as csvfile:
+        reader = csv.reader(csvfile)
+        next(reader)
+        results = []
+        for row in reader:
+            results.append(
+                (
+                    row[0],
+                    float(row[1]),
+                    float(row[2]),
+                    float(row[3]),
+                    float(row[4]),
+                    float(row[5]),
+                    float(row[6]),
+                )
+            )
+        return results
+
+
+if __name__ == "__main__":
+    # run_mvvm_profile()
+    # mvvm_results = run_mvvm()
+    # write_to_csv("policy_loop_counter2.csv")
+    mvvm_results = read_from_csv("policy_loop_counter2.csv")
+    plot_loop_counter(mvvm_results, "policy_loop_counter.pdf")
+    print(calculate_loop_counter_averages(mvvm_results))
+    # mvvm_results = run_mvvm_snapshot()
+    # write_to_csv("policy_loop_snapshot.csv")
+    mvvm_results = read_from_csv_snapshot("policy_loop_snapshot.csv")
+    # mvvm_results = read_from_csv("policy_loop_snapshot.csv")
+    plot_loop_counter_snapshot(mvvm_results, "policy_loop_counter_snapshot.pdf")
+    print(calculate_loop_counter_snapshot_averages(mvvm_results))
diff --git a/artifact/bench_policy.py b/artifact/bench_policy.py
index ac61742..6a96469 100644
--- a/artifact/bench_policy.py
+++ b/artifact/bench_policy.py
@@ -1,9 +1,7 @@
 import csv
 import common_util
 from multiprocessing import Pool
-import matplotlib.pyplot as plt
-import numpy as np
-from collections import defaultdict
+from common_util import plot, calculate_averages
 
 cmd = [
     "llama",
@@ -123,13 +121,13 @@ def run_mvvm():
                     results_1.append(exec_time)
                 elif a == "-stack.aot":
                     results_2.append(exec_time)
-                elif a == "-ckpt-every-dirty.aot":
+                elif a == "-ckpt-loop-counter.aot":
                     results_3.append(exec_time)
                 elif a == "-ckpt-loop.aot":
                     results_4.append(exec_time)
                 elif a == "-ckpt-loop-dirty.aot":
                     results_5.append(exec_time)
-                elif a==".aot" and not exec.__contains__("-pure.aot") and not exec.__contains__("-stack.aot")and not exec.__contains__("-ckpt-every-dirty.aot") and not exec.__contains__("-ckpt-loop.aot") and not exec.__contains__("-ckpt-loop-dirty.aot"):
+                elif a==".aot" and not exec.__contains__("-pure.aot") and not exec.__contains__("-stack.aot")and not exec.__contains__("-ckpt-loop-counter.aot") and not exec.__contains__("-ckpt-loop.aot") and not exec.__contains__("-ckpt-loop-dirty.aot"):
                     results_0.append(exec_time)
                     name.append(exec)
     results = list(
@@ -178,120 +176,12 @@ def read_from_csv(filename):
         next(reader)
         results = []
         for row in reader:
-            results.append((row[0], float(row[1]), float(row[2]), float(row[3]), float(row[4]), float(row[5]), float(row[6])))
+            results.append((row[0], float(row[1]), float(row[2]), float(row[3]), float(row[5]), float(row[6])))
         return results
-    
-def plot(results):
-    font = {'size': 18}
- 
-    plt.rc('font', **font)
-    workloads = defaultdict(list)
-    for workload,pure, aot, stack,ckpt_every,loop,loop_dirty in results:
-            workloads[
-                workload.replace("OMP_NUM_THREADS=", "")
-                .replace("-g20", "")
-                .replace("-n300", "")
-                .replace(" -f ", "")
-                .replace("-vn300", "")
-                .replace("maze-6404.txt", "")
-                .replace("stories110M.bin", "")
-                .replace("-z tokenizer.bin -t 0.0", "")
-                .strip()
-            ].append(( pure,aot, stack,loop,loop_dirty,ckpt_every))
-
-    statistics = {}
-    for workload, times in workloads.items():
-        pures,aots, stacks,loops,loop_dirtys,ckpt_everys= zip(*times)
-        statistics[workload] = {
-            "pure_median": np.median(pures),
-            "aot_median": np.median(aots),
-            "loop_median" :np.median(loops),
-            "loop_dirty_median" :np.median(loop_dirtys),
-            "ckpt_every_median" :np.median(ckpt_everys),
-            "stack_median": np.median(stacks),
-            "pure_std": np.std(pures),
-            "aot_std": np.std(aots),
-            "loop_std" :np.std(loops),
-            "loop_dirty_std" :np.std(loop_dirtys),
-            "ckpt_every_std" :np.std(ckpt_everys),
-            "stack_std": np.std(stacks),
-        }
-
-    fig, ax = plt.subplots(figsize=(20, 10))
-    index = np.arange(len(statistics))
-    bar_width = 0.7
-
-    for i, (workload, stats) in enumerate(statistics.items()):
-        ax.bar(
-            index[i],
-            stats["ckpt_every_median"],
-            bar_width,
-            yerr=stats["ckpt_every_std"],
-            capsize=5,
-            color="blue",
-            label="ckpt_every" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_dirty_median"],
-            bar_width,
-            yerr=stats["loop_dirty_std"],
-            capsize=5,
-            color="red",
-            label="loop_dirty" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_median"],
-            bar_width,
-            yerr=stats["loop_std"],
-            capsize=5,
-            color="brown",
-            label="loop" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["stack_median"],
-            bar_width,
-            yerr=stats["stack_std"],
-            capsize=5,
-            color="purple",
-            label="stack" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["aot_median"],
-            bar_width,
-            yerr=stats["aot_std"],
-            capsize=5,
-            color="cyan",
-            label="aot" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["pure_median"],
-            bar_width,
-            yerr=stats["pure_std"],
-            capsize=5,
-            color="green",
-            label="pure" if i == 0 else "",
-        )
-        # ax.set_xlabel(workload)
-    ticklabel = (x for x in list(statistics.keys()))
-    print(statistics.keys())
-    ax.set_xticks(index)
-
-    ax.set_xticklabels(ticklabel,fontsize =10)
-    ax.set_ylabel("Execution time (s)")
-    ax.legend()
-
-    # add text at upper left
-    ax.legend(loc="upper right")
-
-    plt.savefig("performance_singlethread.pdf")
 
 if __name__ == "__main__":
-#    mvvm_results = run_mvvm()
-#   write_to_csv("policy.csv")
+    mvvm_results = run_mvvm()
+    write_to_csv("policy.csv")
     mvvm_results = read_from_csv("policy.csv")
-    plot(mvvm_results)
+    plot(mvvm_results, "policy_singlethread.pdf")
+    print(calculate_averages(mvvm_results))
diff --git a/artifact/bench_policy_mac.py b/artifact/bench_policy_mac.py
index ff1384c..752a9e7 100644
--- a/artifact/bench_policy_mac.py
+++ b/artifact/bench_policy_mac.py
@@ -1,9 +1,7 @@
 import csv
 import common_util
+from common_util import plot, calculate_averages
 from multiprocessing import Pool
-import matplotlib.pyplot as plt
-import numpy as np
-from collections import defaultdict
 
 cmd = [
     "llama",
@@ -178,122 +176,13 @@ def read_from_csv(filename):
         next(reader)
         results = []
         for row in reader:
-            results.append((row[0], float(row[1]), float(row[2]), float(row[3]), float(row[4]), float(row[5]), float(row[6])))
+            results.append((row[0], float(row[1]), float(row[2]), float(row[3]),  float(row[5]), float(row[6])))
         return results
-    
-
-def plot(results):
-    font = {'size': 18}
- 
-    plt.rc('font', **font)
-    workloads = defaultdict(list)
-    for workload,pure, aot, stack,ckpt_every,loop,loop_dirty in results:
-            workloads[
-                workload.replace("OMP_NUM_THREADS=", "")
-                .replace("-g20", "")
-                .replace("-n300", "")
-                .replace(" -f ", "")
-                .replace("-vn300", "")
-                .replace("maze-6404.txt", "")
-                .replace("stories110M.bin", "")
-                .replace("-z tokenizer.bin -t 0.0", "")
-                .strip()
-            ].append(( pure,aot, stack,loop,loop_dirty,ckpt_every))
-
-    statistics = {}
-    for workload, times in workloads.items():
-        pures,aots, stacks,loops,loop_dirtys,ckpt_everys= zip(*times)
-        statistics[workload] = {
-            "pure_median": np.median(pures),
-            "aot_median": np.median(aots),
-            "loop_median" :np.median(loops),
-            "loop_dirty_median" :np.median(loop_dirtys),
-            "ckpt_every_median" :np.median(ckpt_everys),
-            "stack_median": np.median(stacks),
-            "pure_std": np.std(pures),
-            "aot_std": np.std(aots),
-            "loop_std" :np.std(loops),
-            "loop_dirty_std" :np.std(loop_dirtys),
-            "ckpt_every_std" :np.std(ckpt_everys),
-            "stack_std": np.std(stacks),
-        }
-
-    fig, ax = plt.subplots(figsize=(20, 10))
-    index = np.arange(len(statistics))
-    bar_width = 0.7
-
-    for i, (workload, stats) in enumerate(statistics.items()):
-        ax.bar(
-            index[i],
-            stats["ckpt_every_median"],
-            bar_width,
-            yerr=stats["ckpt_every_std"],
-            capsize=5,
-            color="blue",
-            label="ckpt_every" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_dirty_median"],
-            bar_width,
-            yerr=stats["loop_dirty_std"],
-            capsize=5,
-            color="red",
-            label="loop_dirty" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_median"],
-            bar_width,
-            yerr=stats["loop_std"],
-            capsize=5,
-            color="brown",
-            label="loop" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["stack_median"],
-            bar_width,
-            yerr=stats["stack_std"],
-            capsize=5,
-            color="purple",
-            label="stack" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["aot_median"],
-            bar_width,
-            yerr=stats["aot_std"],
-            capsize=5,
-            color="cyan",
-            label="aot" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["pure_median"],
-            bar_width,
-            yerr=stats["pure_std"],
-            capsize=5,
-            color="green",
-            label="pure" if i == 0 else "",
-        )
-        # ax.set_xlabel(workload)
-    ticklabel = (x for x in list(statistics.keys()))
-    print(statistics.keys())
-    ax.set_xticks(index)
-
-    ax.set_xticklabels(ticklabel,fontsize =10)
-    ax.set_ylabel("Execution time (s)")
-    ax.legend()
-
-    # add text at upper left
-    ax.legend(loc="upper right")
-
-    plt.savefig("performance_singlethread.pdf")
 
 
 if __name__ == "__main__":
     # mvvm_results = run_mvvm()
     # write_to_csv("policy.csv")
-    mvvm_results = read_from_csv("policy.csv")
-    plot(mvvm_results)
\ No newline at end of file
+    mvvm_results = read_from_csv("policy_mac.csv")
+    plot(mvvm_results, "policy_mac.pdf")
+    print(calculate_averages(mvvm_results))
\ No newline at end of file
diff --git a/artifact/bench_policy_multithread.py b/artifact/bench_policy_multithread.py
index 11a648b..62fc4fd 100644
--- a/artifact/bench_policy_multithread.py
+++ b/artifact/bench_policy_multithread.py
@@ -1,9 +1,7 @@
 import csv
 import common_util
+from common_util import plot, calculate_averages
 from multiprocessing import Pool
-import matplotlib.pyplot as plt
-import numpy as np
-from collections import defaultdict
 
 cmd = [
     "llama",
@@ -123,7 +121,7 @@ def run_mvvm():
                     results_1.append(exec_time)
                 elif a == "-stack.aot":
                     results_2.append(exec_time)
-                elif a == "-ckpt-every-dirty.aot":
+                elif a == "-ckpt-loop-counter.aot":
                     results_3.append(exec_time)
                 elif a == "-ckpt-loop.aot":
                     results_4.append(exec_time)
@@ -133,7 +131,7 @@ def run_mvvm():
                     a == ".aot"
                     and not exec.__contains__("-pure.aot")
                     and not exec.__contains__("-stack.aot")
-                    and not exec.__contains__("-ckpt-every-dirty.aot")
+                    and not exec.__contains__("-ckpt-loop-counter.aot")
                     and not exec.__contains__("-ckpt-loop.aot")
                     and not exec.__contains__("-ckpt-loop-dirty.aot")
                 ):
@@ -167,7 +165,6 @@ def write_to_csv(filename):
                 "aot",
                 "pure.aot",
                 "stack.aot",
-                "ckpt-every-dirty.aot",
                 "ckpt-loop.aot",
                 "ckpt-loop-dirty.aot",
             ]
@@ -175,7 +172,7 @@ def write_to_csv(filename):
 
         # Write the data
         for idx, row in enumerate(mvvm_results):
-            writer.writerow([row[0], row[1], row[2], row[3], row[4], row[5], row[6]])
+            writer.writerow([row[0], row[1], row[2], row[3], row[4], row[5]])
 
 
 def read_from_csv(filename):
@@ -190,128 +187,15 @@ def read_from_csv(filename):
                     float(row[1]),
                     float(row[2]),
                     float(row[3]),
-                    float(row[4]),
                     float(row[5]),
                     float(row[6]),
                 )
             )
         return results
-
-
-def plot(results):
-    font = {"size": 18}
-
-    plt.rc("font", **font)
-    workloads = defaultdict(list)
-    for workload, pure, aot, stack, ckpt_every, loop, loop_dirty in results:
-        workloads[
-            workload.replace("OMP_NUM_THREADS=", "")
-            .replace("-g20", "")
-            .replace("-n300", "")
-            .replace(" -f ", "")
-            .replace("-vn300", "")
-            .replace("maze-6404.txt", "")
-            .replace("stories110M.bin", "")
-            .replace("-z tokenizer.bin -t 0.0", "")
-            .strip()
-        ].append((pure, aot, stack, loop, loop_dirty, ckpt_every))
-
-    statistics = {}
-    for workload, times in workloads.items():
-        pures, aots, stacks, loops, loop_dirtys, ckpt_everys = zip(*times)
-        statistics[workload] = {
-            "pure_median": np.median(pures),
-            "aot_median": np.median(aots),
-            "loop_median": np.median(loops),
-            "loop_dirty_median": np.median(loop_dirtys),
-            "ckpt_every_median": np.median(ckpt_everys),
-            "stack_median": np.median(stacks),
-            "pure_std": np.std(pures),
-            "aot_std": np.std(aots),
-            "loop_std": np.std(loops),
-            "loop_dirty_std": np.std(loop_dirtys),
-            "ckpt_every_std": np.std(ckpt_everys),
-            "stack_std": np.std(stacks),
-        }
-
-    fig, ax = plt.subplots(figsize=(20, 10))
-    index = np.arange(len(statistics))
-    bar_width = 0.7
-
-    for i, (workload, stats) in enumerate(statistics.items()):
-        ax.bar(
-            index[i],
-            stats["ckpt_every_median"],
-            bar_width,
-            yerr=stats["ckpt_every_std"],
-            capsize=5,
-            color="blue",
-            label="ckpt_every" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_dirty_median"],
-            bar_width,
-            yerr=stats["loop_dirty_std"],
-            capsize=5,
-            color="red",
-            label="loop_dirty" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["loop_median"],
-            bar_width,
-            yerr=stats["loop_std"],
-            capsize=5,
-            color="brown",
-            label="loop" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["stack_median"],
-            bar_width,
-            yerr=stats["stack_std"],
-            capsize=5,
-            color="purple",
-            label="stack" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["aot_median"],
-            bar_width,
-            yerr=stats["aot_std"],
-            capsize=5,
-            color="cyan",
-            label="aot" if i == 0 else "",
-        )
-        ax.bar(
-            index[i],
-            stats["pure_median"],
-            bar_width,
-            yerr=stats["pure_std"],
-            capsize=5,
-            color="green",
-            label="pure" if i == 0 else "",
-        )
-        # ax.set_xlabel(workload)
-    ticklabel = (x for x in list(statistics.keys()))
-    print(statistics.keys())
-    ax.set_xticks(index)
-
-    ax.set_xticklabels(ticklabel, fontsize=10)
-    ax.set_ylabel("Execution time (s)")
-    ax.legend()
-
-    # add text at upper left
-    ax.legend(loc="upper right")
-
-    # plt.show()
-
-    plt.savefig("performance_multithread.pdf")
-
-
+    
 if __name__ == "__main__":
     mvvm_results = run_mvvm()
     write_to_csv("policy_multithread.csv")
     mvvm_results = read_from_csv("policy_multithread.csv")
-    plot(mvvm_results)
+    # plot(mvvm_results, "policy_multithread.pdf")
+    # print(calculate_averages(mvvm_results))
\ No newline at end of file
diff --git a/artifact/ckpt_restore_latency.py b/artifact/ckpt_restore_latency.py
index bb905a9..0b82ce4 100644
--- a/artifact/ckpt_restore_latency.py
+++ b/artifact/ckpt_restore_latency.py
@@ -388,13 +388,13 @@ def plot(result, file_name="ckpt_restore_latency.pdf"):
 def plot_whole(
     result_mvvm, result_criu, result_qemu, file_name="ckpt_restore_latency_whole.pdf"
 ):
-    font = {"size": 18}
+    font = {"size": 20}
 
     plt.rc("font", **font)
     workloads = defaultdict(list)
     for workload, snapshot, recovery in result_mvvm:
         workloads[
-            workload.replace("OMP_NUM_THREADS=", "")
+            workload.replace("OMP_NUM_THREADS=2", "").replace("OMP_NUM_THREADS=4", "").replace("hdastar", "hda").replace("stories15M.bin", "")
             .replace("-g15", "")
             .replace("-n300", "")
             .replace(" -f ", "")
@@ -408,7 +408,7 @@ def plot_whole(
     workloads_criu = defaultdict(list)
     for workload, snapshot, recovery in result_criu:
         workloads_criu[
-            workload.replace("OMP_NUM_THREADS=", "")
+            workload.replace("OMP_NUM_THREADS=2", "").replace("OMP_NUM_THREADS=4", "").replace("hdastar", "hda").replace("stories15M.bin", "")
             .replace("-g15", "")
             .replace("-n300", "")
             .replace(" -f ", "")
@@ -422,7 +422,7 @@ def plot_whole(
     workloads_qemu = defaultdict(list)
     for workload, snapshot, recovery in result_qemu:
         workloads_qemu[
-            workload.replace("OMP_NUM_THREADS=", "")
+            workload.replace("OMP_NUM_THREADS=2", "").replace("OMP_NUM_THREADS=4", "").replace("hdastar", "hda").replace("stories15M.bin", "")
             .replace("-g15", "")
             .replace("-n300", "")
             .replace(" -f ", "")
@@ -456,7 +456,7 @@ def plot_whole(
     # Plotting
     fig, ax = plt.subplots(figsize=(15, 7))
     # Define the bar width and positions
-    bar_width = 0.7 / 5
+    bar_width = 0.7 / 4
     index = np.arange(len(statistics))
 
     # Plot the bars for each workload
@@ -524,7 +524,7 @@ def plot_whole(
     ax.set_ylabel("Time")
     ax.set_xticks(index + bar_width / 2)
     ticklabel = (x.replace("a=b", "") for x in list(statistics.keys()))
-    ax.set_xticklabels(ticklabel, fontsize=10)
+    ax.set_xticklabels(ticklabel, fontsize=20)
     ax.legend()
 
     # Show the plot
@@ -542,12 +542,12 @@ def plot_whole(
     # print(len(arg), len(cmd), len(envs))
     # criu_result = run_criu()
     # write_to_csv(criu_result, "ckpt_restore_latency_criu.csv")
-    # plot(criu_result, "ckpt_restore_latency_criu.pdf")
+    # # plot(criu_result, "ckpt_restore_latency_criu.pdf")
     # qemu_result = run_qemu()
     # write_to_csv(qemu_result, "ckpt_restore_latency_qemu.csv")
     mvvm_result = read_from_csv("ckpt_restore_latency.csv")
     criu_result = read_from_csv("ckpt_restore_latency_criu.csv")
-    # print(criu_result)
+    print(criu_result)
     qemu_result = read_from_csv("ckpt_restore_latency_qemu.csv")
     plot_whole(mvvm_result, criu_result, qemu_result)
     # plot_qemu(results, "ckpt_restore_latency_qemu.pdf")
diff --git a/artifact/common_util.py b/artifact/common_util.py
index c437f72..c0a6915 100644
--- a/artifact/common_util.py
+++ b/artifact/common_util.py
@@ -81,6 +81,69 @@ def calculate_averages(results):
 
     return dict(total_averages)
 
+def calculate_loop_counter_averages(results):
+    workload_normalized = defaultdict(list)
+
+    # Step 1: Normalize values for each workload
+    for workload, ckptloopcounter1, ckptloopcounter4, ckptloopcounter8, ckptloopcounter16, ckptloopcounter20,ckptloopcounter30,ckptlooppgo,aot,pure in results:
+        # Assuming 'pure' is always non-zero
+        workload_normalized[workload].append(
+            {
+            "ckptloopcounter1": ckptloopcounter1 / pure if pure else 0, 
+            "ckptloopcounter4": ckptloopcounter4 / pure if pure else 0, 
+            "ckptloopcounter8": ckptloopcounter8 / pure if pure else 0, 
+            "ckptloopcounter16": ckptloopcounter16 / pure if pure else 0, 
+            "ckptloopcounter20": ckptloopcounter20 / pure if pure else 0, 
+            "ckptloopcounter30": ckptloopcounter30 / pure if pure else 0, 
+            "ckptlooppgo": ckptlooppgo / pure if pure else 0, 
+            "aot": aot / pure if pure else 0, 
+            "pure": 1
+            }
+        )
+
+    # Step 2 and 3: Calculate total average for each policy
+    total_averages = defaultdict(float)
+    for workload, policies in workload_normalized.items():
+        for policy, values in policies[0].items():
+            total_averages[policy] += values
+
+    # Divide by the number of workloads to get the average
+    num_workloads = len(workload_normalized)
+    for policy in total_averages:
+        total_averages[policy] /= num_workloads
+
+    return dict(total_averages)
+
+def calculate_loop_counter_snapshot_averages(results):
+    workload_normalized = defaultdict(list)
+
+    # Step 1: Normalize values for each workload
+    for workload, ckptloopcounter1, ckptloopcounter4, ckptloopcounter8, ckptloopcounter16, ckptloopcounter20,ckptloopcounter30 in results:
+        # Assuming 'pure' is always non-zero
+        workload_normalized[workload].append(
+            {
+            "ckptloopcounter1": 1,
+            "ckptloopcounter4": ckptloopcounter4 / ckptloopcounter1 if ckptloopcounter1 else 0, 
+            "ckptloopcounter8": ckptloopcounter8 / ckptloopcounter1 if ckptloopcounter1 else 0, 
+            "ckptloopcounter16": ckptloopcounter16 / ckptloopcounter1 if ckptloopcounter1 else 0, 
+            "ckptloopcounter20": ckptloopcounter20 / ckptloopcounter1 if ckptloopcounter1 else 0, 
+            "ckptloopcounter30": ckptloopcounter30 / ckptloopcounter1 if ckptloopcounter1 else 0, 
+            }
+        )
+
+    # Step 2 and 3: Calculate total average for each policy
+    total_averages = defaultdict(float)
+    for workload, policies in workload_normalized.items():
+        for policy, values in policies[0].items():
+            total_averages[policy] += values
+
+    # Divide by the number of workloads to get the average
+    num_workloads = len(workload_normalized)
+    for policy in total_averages:
+        total_averages[policy] /= num_workloads
+
+    return dict(total_averages)
+
 
 def plot(results, file_name):
     font = {"size": 18}
@@ -138,6 +201,168 @@ def plot(results, file_name):
     plt.savefig(file_name)
 
 
+def plot_loop_counter(results, file_name):
+    font = {"size": 18}
+    plt.rc("font", **font)
+    workloads = defaultdict(list)
+
+    # Simplifying and grouping your data
+    for workload, ckptloopcounter1s, ckptloopcounter4s, ckptloopcounter8s, ckptloopcounter16s, ckptloopcounter20s,ckptloopcounter30s,ckptlooppgos,aots,pures in results:
+        workloads[workload.split(" ")[1].replace(".aot", "")].append(
+            (float(ckptloopcounter1s), float(ckptloopcounter4s), float(ckptloopcounter8s), float(ckptloopcounter16s), float(ckptloopcounter20s),float(ckptloopcounter30s),float(ckptlooppgos),float(aots),float(pures))
+        )
+
+    # Calculate statistics
+    statistics = {}
+    for workload, times in workloads.items():
+        ckptloopcounter1s, ckptloopcounter4s, ckptloopcounter8s, ckptloopcounter16s, ckptloopcounter20s,ckptloopcounter30s,ckptlooppgos,aots,pures = zip(*times)
+        divisor =np.median(pures)
+        ckptloopcounter1s = [x/divisor for x in ckptloopcounter1s]
+        ckptloopcounter4s = [x/divisor for x in ckptloopcounter4s]
+        ckptloopcounter8s = [x/divisor for x in ckptloopcounter8s]
+        ckptloopcounter16s = [x/divisor for x in ckptloopcounter16s]
+
+        ckptloopcounter20s = [x/divisor for x in ckptloopcounter20s]
+        ckptloopcounter30s = [x/divisor for x in ckptloopcounter30s]
+        ckptlooppgos = [x/divisor for x in ckptlooppgos]
+        aots = [x/divisor for x in aots]
+        pures = [x/divisor for x in pures]
+        statistics[workload] = [
+            ("ckptloopcounter1", np.median(ckptloopcounter1s), np.std(ckptloopcounter1s)),
+            ("ckptloopcounter4", np.median(ckptloopcounter4s), np.std(ckptloopcounter4s)),
+            ("ckptloopcounter8", np.median(ckptloopcounter8s), np.std(ckptloopcounter8s)),
+            ("ckptloopcounter16", np.median(ckptloopcounter16s), np.std(ckptloopcounter16s)),
+            ("ckptloopcounter20", np.median(ckptloopcounter20s), np.std(ckptloopcounter20s)),
+            ("ckptloopcounter30", np.median(ckptloopcounter30s), np.std(ckptloopcounter30s)),
+            ("ckptlooppgo", np.median(ckptlooppgos), np.std(ckptlooppgos)),
+            ("aot", np.median(aots), np.std(aots)),
+            ("pure", np.median(pures), np.std(pures)),
+        ]
+
+    fig, ax = plt.subplots(figsize=(20, 10))
+    index = np.arange(len(statistics))
+    bar_width = 0.7  # Adjusted for visual clarity
+    color = [
+        "ckptloopcounter1",
+        "ckptloopcounter4",
+        "ckptloopcounter8",
+        "ckptloopcounter16",
+        "ckptloopcounter20",
+        "ckptloopcounter30",
+        "ckptlooppgo",
+        "pure",
+        "aot",
+    ]
+    x_ = [1, 4, 8, 16, 20, 30,40, 50,60]
+    # x_ = [1<<x for x in x_]
+    for i, (workload, stats) in enumerate(statistics.items()):
+        # sorted_stats = sorted(stats, key=lambda x: -x[1])  # Sort by median time
+        
+        x_values = []
+        y_values = []
+        y_errors = []
+        
+        for j, (label, median, std) in enumerate(stats):
+            x_values.append(x_[j])
+            y_values.append(median)
+            y_errors.append(std)
+        
+        ax.errorbar(
+            x_values,
+            y_values,
+            # yerr=y_errors,
+            # color=color[workload],
+            capsize=5,
+            label=workload,
+            marker='o',
+            linestyle='-',
+            linewidth=2,
+        )
+    ax.set_xticks(x_)  # Adjust this based on the number of bars per group
+    # ax.set_xticklabels(statistics.keys(), fontsize=18)
+    ax.set_ylabel("Execution Time (s)")
+    plt.tight_layout()
+    ax.legend(loc="upper right")
+
+    plt.savefig(file_name)
+
+
+def plot_loop_counter_snapshot(results, file_name):
+    font = {"size": 18}
+    plt.rc("font", **font)
+    workloads = defaultdict(list)
+
+    # Simplifying and grouping your data
+    for workload, ckptloopcounter1s, ckptloopcounter4s, ckptloopcounter8s, ckptloopcounter16s, ckptloopcounter20s,ckptloopcounter30s in results:
+        workloads[workload.split(" ")[1].replace(".aot", "")].append(
+            (float(ckptloopcounter1s), float(ckptloopcounter4s), float(ckptloopcounter8s), float(ckptloopcounter16s), float(ckptloopcounter20s),float(ckptloopcounter30s))
+        )
+
+    # Calculate statistics
+    statistics = {}
+    for workload, times in workloads.items():
+        ckptloopcounter1s, ckptloopcounter4s, ckptloopcounter8s, ckptloopcounter16s, ckptloopcounter20s,ckptloopcounter30s = zip(*times)
+        divisor =np.median(ckptloopcounter1s)
+        ckptloopcounter1s = [x/divisor for x in ckptloopcounter1s]
+        ckptloopcounter4s = [x/divisor for x in ckptloopcounter4s]
+        ckptloopcounter8s = [x/divisor for x in ckptloopcounter8s]
+        ckptloopcounter16s = [x/divisor for x in ckptloopcounter16s]
+
+        ckptloopcounter20s = [x/divisor for x in ckptloopcounter20s]
+        ckptloopcounter30s = [x/divisor for x in ckptloopcounter30s]
+        statistics[workload] = [
+            ("ckptloopcounter1", np.median(ckptloopcounter1s), np.std(ckptloopcounter1s)),
+            ("ckptloopcounter4", np.median(ckptloopcounter4s), np.std(ckptloopcounter4s)),
+            ("ckptloopcounter8", np.median(ckptloopcounter8s), np.std(ckptloopcounter8s)),
+            ("ckptloopcounter16", np.median(ckptloopcounter16s), np.std(ckptloopcounter16s)),
+            ("ckptloopcounter20", np.median(ckptloopcounter20s), np.std(ckptloopcounter20s)),
+            ("ckptloopcounter30", np.median(ckptloopcounter30s), np.std(ckptloopcounter30s)),
+        ]
+
+    fig, ax = plt.subplots(figsize=(20, 10))
+    index = np.arange(len(statistics))
+    bar_width = 0.7  # Adjusted for visual clarity
+    color = [
+        "ckptloopcounter1",
+        "ckptloopcounter4",
+        "ckptloopcounter8",
+        "ckptloopcounter16",
+        "ckptloopcounter20",
+        "ckptloopcounter30",
+    ]
+    x_ = [1, 4, 8, 16, 20, 30]
+    # x_ = [1<<x for x in x_]
+    for i, (workload, stats) in enumerate(statistics.items()):
+        # sorted_stats = sorted(stats, key=lambda x: -x[1])  # Sort by median time
+        
+        x_values = []
+        y_values = []
+        y_errors = []
+        
+        for j, (label, median, std) in enumerate(stats):
+            x_values.append(x_[j])
+            y_values.append(median)
+            y_errors.append(std)
+        
+        ax.errorbar(
+            x_values,
+            y_values,
+            # yerr=y_errors,
+            # color=color[workload],
+            capsize=5,
+            label=workload,
+            marker='o',
+            linestyle='-',
+            linewidth=2,
+        )
+    ax.set_xticks(x_)  # Adjust this based on the number of bars per group
+    # ax.set_xticklabels(statistics.keys(), fontsize=18)
+    ax.set_ylabel("Snapshot Time (s)")
+    plt.tight_layout()
+    ax.legend(loc="upper right")
+
+    plt.savefig(file_name)
+    
 def plot_whole(results, file_name):
     font = {"size": 20}
     plt.rc("font", **font)
@@ -299,11 +524,22 @@ def get_func_index(func, file):
     ".aot",
     "-pure.aot",
     "-stack.aot",
-    # "-ckpt-every-dirty.aot",
+    "-ckpt-every-dirty.aot",
     "-ckpt-loop.aot",
-    "-ckpt-loop-dirty.aot",
+    "-ckpt-loop-counter.aot",
+]
+aot_variant_freq = [
+    "-ckpt-loop-counter-1.aot",
+    "-ckpt-loop-counter-4.aot",
+    "-ckpt-loop-counter-8.aot",
+    "-ckpt-loop-counter-16.aot",
+    "-ckpt-loop-counter-20.aot",
+    "-ckpt-loop-counter-30.aot",
+    "-ckpt-loop-pgo.aot",
+    ".aot",
+    "-pure.aot"
 ]
-trial = 10
+trial = 2
 
 
 def contains_result(output: str, result: str) -> bool:
@@ -328,7 +564,7 @@ def run_checkpoint_restore(
 
 
 def run_checkpoint(aot_file: str, arg: list[str], env: str) -> tuple[str, str]:
-    cmd = f"./MVVM_checkpoint -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} -c 10000"
+    cmd = f"./MVVM_checkpoint -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} -c 100000"
     print(cmd)
     cmd = cmd.split()
     result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
@@ -540,7 +776,23 @@ def run_qemu_checkpoint(
 
 
 def run(aot_file: str, arg: list[str], env: str, extra: str = "") -> tuple[str, str]:
-    cmd = f"./MVVM_checkpoint -t ../build/bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} {extra}"
+    cmd = f"./MVVM_checkpoint -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} {extra}"
+    print(cmd)
+    cmd = cmd.split()
+    result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    try:
+        output = result.stdout.decode("utf-8")
+    except:
+        output = result.stdout
+    exec = " ".join([env] + [aot_file] + arg)
+    # print(exec)
+    # print(output)
+    return (exec, output)
+
+
+def run_profile(aot_file: str, arg: list[str], env: str, extra: str = "") -> tuple[str, str]:
+    wasm_file = aot_file.replace("aot","wasm")
+    cmd = f"./MVVM_profile -w ./bench/{wasm_file} -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} {extra}"
     print(cmd)
     cmd = cmd.split()
     result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
@@ -728,8 +980,8 @@ def run_checkpoint_restore_burst(
     # Execute run_checkpoint and capture its result
     res = []
     exec_with_log("rm ./*.out")
-    exec_with_log("pkill MVVM_checkpoint")
-    exec_with_log("pkill MVVM_restore")
+    exec_with_log("sudo pkill MVVM_checkpoint")
+    exec_with_log("sudo pkill MVVM_restore")
     exec_with_log(f"ssh -t {burst} pkill MVVM_checkpoint")
     exec_with_log(f"ssh -t {burst} pkill MVVM_restore")
     exec_with_log(f"ssh -t {burst} rm {pwd_mac}/build/*.out")
@@ -745,50 +997,69 @@ def run_checkpoint_restore_burst(
         f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file1} {extra3}' >> MVVM_restore.1.out &"
     )
     exec_with_log(
-        f"../artifact/run_with_energy_monitoring.sh MVVM_restore 1 {aot_file} &"
+        f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 1 {aot_file} &"
     )
     exec_with_log(
         f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file} {extra7}' >> MVVM_restore.4.out &"
     )
     exec_with_log(
-        f"../artifact/run_with_energy_monitoring.sh MVVM_restore 4 {aot_file1} &"
+        f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 4 {aot_file1} &"
     )
-    exec_with_log("sleep 10")
+    exec_with_log("sleep 100")
+
     exec_with_log(
         f"./MVVM_checkpoint -t ./bench/{aot_file1} {' '.join(['-a ' + str(x) for x in arg1])} -e {env} {extra1} > MVVM_checkpoint.0.out &"
     )
     exec_with_log(
-        f"../artifact/run_with_energy_monitoring.sh MVVM_checkpoint 0 {aot_file} &"
+        f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_checkpoint 0 {aot_file} &"
     )
+    
+    exec_with_log("sleep 640")
 
-    exec_with_log("sleep 10")
     exec_with_log(
         f"script -f -q /dev/null -c 'ssh -t {burst}  ./MVVM_checkpoint -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} {extra6}' > MVVM_checkpoint.1.out &"
     )
+    exec_with_log(
+        f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_checkpoint 1 {aot_file1} &"
+    )
     # exec_with_log(f"ssh -t mac ../artifact/run_with_energy_monitoring_mac.sh MVVM_checkpoint 1 {aot_file} &")
     exec_with_log(f"pkill -SIGINT MVVM_checkpoint")
+    sleep(1)
+    exec_with_log(f"pkill -SIGINT MVVM_checkpoint")
 
-    exec_with_log("sleep 100")
+    exec_with_log("sleep 50")
 
     exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore")
     exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_checkpoint")
     exec_with_log(
         f"script -f -q /dev/null -c 'ssh -t {burst} ./MVVM_restore -t ./bench/{aot_file1} {extra4}' >> MVVM_restore.2.out &"
     )
+    exec_with_log(
+        f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 2 {aot_file} &"
+    )
     exec_with_log(
         f"script -f -q /dev/null -c 'ssh -t {burst} ./MVVM_restore -t ./bench/{aot_file} {extra8}' >> MVVM_restore.5.out &"
     )
-    exec_with_log("sleep 100")
+    exec_with_log(
+        f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 5 {aot_file1} &"
+    )
+    exec_with_log("sleep 50")
     exec_with_log(f"pkill -SIGINT MVVM_restore")
     exec_with_log(
         f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file} {extra9}' >> MVVM_restore.6.out &"
     )
+    exec_with_log(
+    f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 6 {aot_file1} &"
+    )
     exec_with_log(
         f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file1} {extra5}' >> MVVM_restore.3.out &"
     )
+    exec_with_log(
+        f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 3 {aot_file} &"
+    )
     # Return a combined result or just the checkpoint result as needed
 
-    exec_with_log("sleep 100")
+    exec_with_log("sleep 50")
     exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore")
     exec_with_log(f"sleep 1000")
     exec_with_log(f"scp {burst}:{pwd_mac}/build/*.*.out ./")
diff --git a/artifact/result/policy.csv b/artifact/result/policy.csv
index 52fa2c8..fedb796 100644
--- a/artifact/result/policy.csv
+++ b/artifact/result/policy.csv
@@ -1,19 +1,181 @@
 name,aot,pure.aot,stack.aot,ckpt-every-dirty.aot,ckpt-loop.aot,ckpt-loop-dirty.aot
-OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,36.838634,35.490774,35.35192,35.35192,198.85921,195.364888
-OMP_NUM_THREADS=1 bc.aot -g20 -vn300,605.145746,605.145746,505.868372,505.868372,2832.941772,2643.51066
-OMP_NUM_THREADS=1 bfs.aot -g20 -vn300,152.820818,152.820818,106.538025,106.538025,880.15895,810.526482
-OMP_NUM_THREADS=1 cc.aot -g20 -vn300,289.614659,289.614659,174.031847,174.031847,991.653426,1140.914195
-OMP_NUM_THREADS=1 cc_sv.aot -g20 -vn300,346.56919,346.56919,290.536631,290.536631,2054.915379,2225.318927
-OMP_NUM_THREADS=1 pr.aot -g20 -vn300,330.497569,330.497569,292.699061,292.699061,3772.003879,3664.336752
-OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,268.482607,268.482607,253.826483,253.826483,3341.810219,3171.734207
-OMP_NUM_THREADS=1 sssp.aot -g20 -vn300,427.322708,427.322708,358.032088,358.032088,1796.494136,1682.712455
-OMP_NUM_THREADS=1 tc.aot -g20 -n1,116.105684,116.105684,43.902305,43.902305,288.510501,283.057227
-OMP_NUM_THREADS=1 bt.aot,122.623808,74.751417,75.967604,75.967604,225.124168,226.011014
-OMP_NUM_THREADS=1 cg.aot,42.340921,31.23792,38.988279,38.988279,481.981174,490.708536
-OMP_NUM_THREADS=1 ep.aot,0.000893,0.00068,0.000762,0.000762,0.002982,0.002341
-OMP_NUM_THREADS=1 ft.aot,71.436148,65.882009,56.196119,56.196119,585.085743,608.715938
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-OMP_NUM_THREADS=1 sp.aot,17.560042,3.989463,6.568757,6.568757,48.527141,49.368021
-OMP_NUM_THREADS=1 redis.aot,56.605383,11.058664,19.21135,19.21135,81.180751,83.398717
-a=b hdastar.aot maze-6404.txt 8,11.700573,3.84014,7.154896,7.154896,12.099818,11.431265
+OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,26.32401,24.47275,25.321076,25.321076,28.210757,28.361349
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+OMP_NUM_THREADS=1 cc_sv.aot -g20 -vn300,183.643673,183.643673,151.803182,151.803182,196.635993,238.32247
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+OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,178.722241,178.722241,178.80467,178.80467,232.050268,205.669251
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+OMP_NUM_THREADS=1 redis.aot,19.218774,8.953303,16.486451,16.486451,20.718721,24.309655
+a=b hdastar.aot maze-6404.txt 8,10.852607,10.852607,7.171778,7.171778,9.114045,10.045842
+OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,25.897895,25.062638,25.868386,25.868386,28.922918,29.765523
+OMP_NUM_THREADS=1 bc.aot -g20 -vn300,301.832709,301.832709,282.896189,282.896189,373.382094,431.826209
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+a=b hdastar.aot maze-6404.txt 8,10.726137,9.019793,8.55229,8.55229,10.38056,8.322293
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+a=b hdastar.aot maze-6404.txt 8,10.464631,7.392301,7.191872,7.191872,10.409401,7.894778
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+OMP_NUM_THREADS=1 bc.aot -g20 -vn300,314.501501,314.501501,273.900725,273.900725,360.837865,426.278387
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+OMP_NUM_THREADS=1 ep.aot,0.002437,0.001032,0.002148,0.002148,0.002243,0.002033
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+a=b hdastar.aot maze-6404.txt 8,10.630752,6.754623,7.91986,7.91986,11.06454,10.592427
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+a=b hdastar.aot maze-6404.txt 8,11.428559,7.807589,7.641667,7.641667,10.37134,9.31812
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+OMP_NUM_THREADS=1 pr.aot -g20 -vn300,219.514623,219.514623,206.68461,206.68461,236.981813,259.508493
+OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,190.073335,190.073335,170.889703,170.889703,222.354379,200.130006
+OMP_NUM_THREADS=1 sssp.aot -g20 -vn300,270.962289,270.962289,230.256891,230.256891,339.143226,403.594826
+OMP_NUM_THREADS=1 tc.aot -g20 -n1,48.050755,48.050755,30.347488,30.347488,40.529058,38.032497
+OMP_NUM_THREADS=1 bt.aot,57.424035,52.257798,47.171533,47.171533,68.676444,60.887263
+OMP_NUM_THREADS=1 cg.aot,23.956185,22.446286,21.764883,21.764883,35.423631,39.586645
+OMP_NUM_THREADS=1 ep.aot,0.002449,0.001997,0.001011,0.001011,0.002848,0.001103
+OMP_NUM_THREADS=1 ft.aot,36.62239,38.08549,42.054578,42.054578,85.050462,88.49877
+OMP_NUM_THREADS=1 lu.aot,0.046617,0.041752,0.045795,0.045795,0.052249,0.049507
+OMP_NUM_THREADS=1 mg.aot,20.832592,17.917964,19.414119,19.414119,40.649036,41.412074
+OMP_NUM_THREADS=1 sp.aot,7.248053,3.601834,4.827026,4.827026,7.826959,7.191556
+OMP_NUM_THREADS=1 redis.aot,22.433107,8.16123,15.712845,15.712845,21.376499,23.684484
+a=b hdastar.aot maze-6404.txt 8,11.178987,7.449411,7.348959,7.348959,11.061452,11.532072
+OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,26.947609,25.74252,25.824146,25.824146,28.347634,27.93061
+OMP_NUM_THREADS=1 bc.aot -g20 -vn300,325.054915,325.054915,267.988911,267.988911,336.750211,406.071056
+OMP_NUM_THREADS=1 bfs.aot -g20 -vn300,78.83731,78.83731,64.943422,64.943422,76.024603,84.064329
+OMP_NUM_THREADS=1 cc.aot -g20 -vn300,130.086382,130.086382,114.403351,114.403351,143.209377,168.316412
+OMP_NUM_THREADS=1 cc_sv.aot -g20 -vn300,184.523923,184.523923,161.643572,161.643572,188.316515,256.275452
+OMP_NUM_THREADS=1 pr.aot -g20 -vn300,196.567903,196.567903,185.294063,185.294063,246.264065,252.684381
+OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,191.901375,191.901375,189.155775,189.155775,246.078941,220.652512
+OMP_NUM_THREADS=1 sssp.aot -g20 -vn300,264.544209,264.544209,233.545047,233.545047,315.27784,373.977711
+OMP_NUM_THREADS=1 tc.aot -g20 -n1,48.801216,48.801216,28.880913,28.880913,42.321601,37.29396
+OMP_NUM_THREADS=1 bt.aot,61.606888,45.946288,49.388428,49.388428,63.197976,58.418854
+OMP_NUM_THREADS=1 cg.aot,26.650049,20.655145,22.993191,22.993191,35.408235,39.709148
+OMP_NUM_THREADS=1 ep.aot,0.00244,0.001748,0.001824,0.001824,0.001379,0.000959
+OMP_NUM_THREADS=1 ft.aot,36.609956,41.063118,39.834432,39.834432,82.900716,86.396241
+OMP_NUM_THREADS=1 lu.aot,0.044621,0.03155,0.046682,0.046682,0.037211,0.042901
+OMP_NUM_THREADS=1 mg.aot,24.687424,19.267439,19.709943,19.709943,36.611072,45.20645
+OMP_NUM_THREADS=1 sp.aot,7.20248,4.016831,5.158459,5.158459,7.634931,7.725866
+OMP_NUM_THREADS=1 redis.aot,20.707256,7.970608,16.274266,16.274266,20.190021,23.832224
+a=b hdastar.aot maze-6404.txt 8,11.100112,6.938433,7.659034,7.659034,10.602706,9.321554
+OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,25.742684,25.567359,25.517804,25.517804,27.949099,28.69195
+OMP_NUM_THREADS=1 bc.aot -g20 -vn300,293.500437,293.500437,265.817801,265.817801,377.236796,400.615316
+OMP_NUM_THREADS=1 bfs.aot -g20 -vn300,77.43475,77.43475,65.200964,65.200964,80.541388,92.151348
+OMP_NUM_THREADS=1 cc.aot -g20 -vn300,134.298936,134.298936,112.990433,112.990433,132.663106,166.181747
+OMP_NUM_THREADS=1 cc_sv.aot -g20 -vn300,179.406628,179.406628,165.294943,165.294943,188.277157,259.328227
+OMP_NUM_THREADS=1 pr.aot -g20 -vn300,198.481549,198.481549,198.284859,198.284859,227.491134,254.426726
+OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,206.182164,206.182164,178.789799,178.789799,249.772134,197.579045
+OMP_NUM_THREADS=1 sssp.aot -g20 -vn300,258.329308,258.329308,238.914772,238.914772,299.423341,330.321472
+OMP_NUM_THREADS=1 tc.aot -g20 -n1,53.40175,53.40175,29.056049,29.056049,37.406897,40.278365
+OMP_NUM_THREADS=1 bt.aot,59.790527,51.5704,55.282739,55.282739,67.169513,55.411618
+OMP_NUM_THREADS=1 cg.aot,25.255956,21.090215,24.257374,24.257374,37.960099,39.776335
+OMP_NUM_THREADS=1 ep.aot,0.002944,0.000883,0.002147,0.002147,0.001377,0.002816
+OMP_NUM_THREADS=1 ft.aot,34.958844,41.600796,41.736728,41.736728,80.46322,80.244682
+OMP_NUM_THREADS=1 lu.aot,0.050619,0.028869,0.041997,0.041997,0.034423,0.048764
+OMP_NUM_THREADS=1 mg.aot,21.71718,18.232409,19.209119,19.209119,54.81343,39.817097
+OMP_NUM_THREADS=1 sp.aot,7.144054,3.065541,5.119661,5.119661,7.768602,7.098628
+OMP_NUM_THREADS=1 redis.aot,20.023443,8.288062,15.783689,15.783689,20.273333,24.003487
+a=b hdastar.aot maze-6404.txt 8,10.908282,6.086806,7.484129,7.484129,10.110525,10.370118
diff --git a/artifact/result/policy_multithread.csv b/artifact/result/policy_multithread.csv
index de97499..4d0b561 100644
--- a/artifact/result/policy_multithread.csv
+++ b/artifact/result/policy_multithread.csv
@@ -1,58 +1,4 @@
 name,aot,pure.aot,stack.aot,ckpt-every-dirty.aot,ckpt-loop.aot,ckpt-loop-dirty.aot
-OMP_NUM_THREADS=4 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,10.017898,10.538071,9.551293,9.551293,52.572907,58.174687
-OMP_NUM_THREADS=4 bc.aot -g20 -vn300,231.541847,231.541847,197.232313,197.232313,1630.789125,1642.650659
-OMP_NUM_THREADS=4 bfs.aot -g20 -vn300,65.096905,65.096905,56.080233,56.080233,519.08394,512.712417
-OMP_NUM_THREADS=4 cc.aot -g20 -vn300,165.967726,165.967726,104.077259,104.077259,583.955076,637.09575
-OMP_NUM_THREADS=4 cc_sv.aot -g20 -vn300,185.382474,185.382474,129.455157,129.455157,873.077472,889.527948
-OMP_NUM_THREADS=4 pr.aot -g20 -vn300,59.505688,59.505688,51.44526,51.44526,801.815683,814.781761
-OMP_NUM_THREADS=4 pr_spmv.aot -g20 -vn300,78.739079,78.739079,64.305969,64.305969,932.059638,937.161274
-OMP_NUM_THREADS=4 sssp.aot -g20 -vn300,276.183438,276.183438,234.0212,234.0212,1042.837332,1086.634561
-OMP_NUM_THREADS=4 tc.aot -g20 -n1,39.949079,39.949079,22.501251,22.501251,161.282844,163.515375
-OMP_NUM_THREADS=4 bt.aot,70.475124,53.32907,59.691541,59.691541,130.768544,137.916229
-OMP_NUM_THREADS=4 cg.aot,32.625126,18.603542,18.894772,18.894772,206.37486,211.096798
-OMP_NUM_THREADS=4 ep.aot,0.003015,0.001876,0.002612,0.002612,0.005063,0.002794
-OMP_NUM_THREADS=4 ft.aot,16.043054,13.759922,14.225016,14.225016,155.341532,156.453344
-OMP_NUM_THREADS=4 lu.aot,0.039933,0.049057,0.035829,0.035829,0.1047,0.099759
-OMP_NUM_THREADS=4 mg.aot,29.936622,19.958747,20.884183,20.884183,106.603824,114.759174
-OMP_NUM_THREADS=4 sp.aot,33.832973,20.002695,22.167469,22.167469,70.783177,63.685357
-OMP_NUM_THREADS=4 redis.aot,57.495774,9.580163,18.098083,18.098083,77.271008,78.862054
-a=b hdastar.aot maze-6404.txt 8,10.9408,3.20139,5.495154,5.495154,11.946834,8.968433
-OMP_NUM_THREADS=4 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,11.285482,8.696805,8.719069,8.719069,45.587062,54.595998
-OMP_NUM_THREADS=4 bc.aot -g20 -vn300,228.180862,228.180862,196.644105,196.644105,1703.040742,1736.204013
-OMP_NUM_THREADS=4 bfs.aot -g20 -vn300,64.901881,64.901881,53.423697,53.423697,496.595615,518.28573
-OMP_NUM_THREADS=4 cc.aot -g20 -vn300,156.226125,156.226125,96.384282,96.384282,598.375946,595.620608
-OMP_NUM_THREADS=4 cc_sv.aot -g20 -vn300,172.1208,172.1208,117.084912,117.084912,838.12775,891.836542
-OMP_NUM_THREADS=4 pr.aot -g20 -vn300,59.804795,59.804795,48.629867,48.629867,742.457012,743.669954
-OMP_NUM_THREADS=4 pr_spmv.aot -g20 -vn300,80.962334,80.962334,61.994429,61.994429,980.537201,936.869386
-OMP_NUM_THREADS=4 sssp.aot -g20 -vn300,273.989241,273.989241,224.864193,224.864193,1064.527767,1067.949112
-OMP_NUM_THREADS=4 tc.aot -g20 -n1,39.78107,39.78107,22.121677,22.121677,166.89708,168.807898
-OMP_NUM_THREADS=4 bt.aot,81.000707,53.906011,59.455827,59.455827,132.262379,134.614112
-OMP_NUM_THREADS=4 cg.aot,26.566948,25.623014,17.822263,17.822263,208.72334,208.652902
-OMP_NUM_THREADS=4 ep.aot,0.004101,0.003475,0.003786,0.003786,0.005356,0.003773
-OMP_NUM_THREADS=4 ft.aot,15.002259,15.630616,14.760759,14.760759,158.338649,155.379575
-OMP_NUM_THREADS=4 lu.aot,0.062055,0.024446,0.0405,0.0405,0.099567,0.097056
-OMP_NUM_THREADS=4 mg.aot,30.585384,18.628778,18.124699,18.124699,114.088661,102.032073
-OMP_NUM_THREADS=4 sp.aot,40.105214,23.724932,27.745403,27.745403,65.620997,62.128954
-OMP_NUM_THREADS=4 redis.aot,56.354405,10.119493,17.909284,17.909284,77.499407,79.835904
-a=b hdastar.aot maze-6404.txt 8,9.35697,7.024824,6.778998,6.778998,10.939126,10.388784
-OMP_NUM_THREADS=4 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,11.876132,8.922248,9.69194,9.69194,47.601604,47.685453
-OMP_NUM_THREADS=4 bc.aot -g20 -vn300,214.770088,214.770088,200.993059,200.993059,1737.181198,1841.921895
-OMP_NUM_THREADS=4 bfs.aot -g20 -vn300,69.683795,69.683795,57.97691,57.97691,479.21154,497.166874
-OMP_NUM_THREADS=4 cc.aot -g20 -vn300,151.560553,151.560553,98.569124,98.569124,578.294962,604.293522
-OMP_NUM_THREADS=4 cc_sv.aot -g20 -vn300,171.754246,171.754246,116.552469,116.552469,856.158443,901.033594
-OMP_NUM_THREADS=4 pr.aot -g20 -vn300,55.452224,55.452224,52.557448,52.557448,756.836125,763.669305
-OMP_NUM_THREADS=4 pr_spmv.aot -g20 -vn300,65.320206,65.320206,56.402029,56.402029,960.368081,976.701841
-OMP_NUM_THREADS=4 sssp.aot -g20 -vn300,273.388615,273.388615,224.002082,224.002082,1134.207162,1189.01097
-OMP_NUM_THREADS=4 tc.aot -g20 -n1,30.579374,30.579374,22.442656,22.442656,28.126748,29.122663
-OMP_NUM_THREADS=4 bt.aot,74.62627,57.594137,53.934058,53.934058,64.171541,61.391608
-OMP_NUM_THREADS=4 cg.aot,21.262384,21.131603,20.910612,20.910612,35.209194,35.883791
-OMP_NUM_THREADS=4 ep.aot,0.002265,0.002804,0.002634,0.002634,0.002462,0.002571
-OMP_NUM_THREADS=4 ft.aot,14.439449,13.430229,14.243589,14.243589,24.267449,28.891808
-OMP_NUM_THREADS=4 lu.aot,0.054306,0.038539,0.03546,0.03546,0.051181,0.052417
-OMP_NUM_THREADS=4 mg.aot,17.88104,19.578546,21.113502,21.113502,26.102983,34.509171
-OMP_NUM_THREADS=4 sp.aot,24.318857,27.967577,21.065164,21.065164,24.113757,26.228236
-OMP_NUM_THREADS=4 redis.aot,22.92621,10.171869,17.93138,17.93138,22.818408,24.522828
-a=b hdastar.aot maze-6404.txt 8,9.343366,6.257246,7.95168,7.95168,8.826389,9.692145
 OMP_NUM_THREADS=4 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,9.777629,9.002316,8.278268,8.278268,11.776923,10.077228
 OMP_NUM_THREADS=4 bc.aot -g20 -vn300,235.962264,235.962264,205.165808,205.165808,288.253252,341.204129
 OMP_NUM_THREADS=4 bfs.aot -g20 -vn300,67.984061,67.984061,57.501841,57.501841,72.718786,89.771209
diff --git a/artifact/result/windows.csv b/artifact/result/windows.csv
index 817eea9..b9729cd 100644
--- a/artifact/result/windows.csv
+++ b/artifact/result/windows.csv
@@ -1,81 +1,24 @@
 name,mvvm,native
-a=b linpack.aot,36.875728,25.089
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,760.961321,12.049
-OMP_NUM_THREADS=1 cg.aot,20.553871,96.003
-OMP_NUM_THREADS=1 ep.aot,0.000519,28.055
-OMP_NUM_THREADS=1 ft.aot,27.5285,10.057
-OMP_NUM_THREADS=1 lu.aot,0.023669,0.002
-OMP_NUM_THREADS=1 mg.aot,18.439463,24.097
-a=b redis.aot,34.938116,0.003
-a=b linpack.aot,36.463317,9.017
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,742.233683,0.051
-OMP_NUM_THREADS=1 cg.aot,21.159921,0.051
-OMP_NUM_THREADS=1 ep.aot,0.000514,26.001
-OMP_NUM_THREADS=1 ft.aot,27.590321,12.054
-OMP_NUM_THREADS=1 lu.aot,0.024134,97.0
-OMP_NUM_THREADS=1 mg.aot,18.545828,29.005
-a=b redis.aot,34.812165,10.071
-a=b linpack.aot,36.913629,0.002
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,748.680853,25.043
-OMP_NUM_THREADS=1 cg.aot,20.662478,0.003
-OMP_NUM_THREADS=1 ep.aot,0.000424,9.002
-OMP_NUM_THREADS=1 ft.aot,27.951032,0.051
-OMP_NUM_THREADS=1 lu.aot,0.022966,0.051
-OMP_NUM_THREADS=1 mg.aot,18.514203,25.003
-a=b redis.aot,34.982459,12.043
-a=b linpack.aot,36.834715,88.071
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,755.615254,27.05
-OMP_NUM_THREADS=1 cg.aot,20.635818,10.048
-OMP_NUM_THREADS=1 ep.aot,0.000407,0.003
-OMP_NUM_THREADS=1 ft.aot,27.45233,23.062
-OMP_NUM_THREADS=1 lu.aot,0.023021,0.003
-OMP_NUM_THREADS=1 mg.aot,18.777736,9.004
-a=b redis.aot,34.910377,0.053
-a=b linpack.aot,36.670241,0.053
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,754.313282,25.04
-OMP_NUM_THREADS=1 cg.aot,20.773552,12.042
-OMP_NUM_THREADS=1 ep.aot,0.000427,87.076
-OMP_NUM_THREADS=1 ft.aot,27.558167,27.045
-OMP_NUM_THREADS=1 lu.aot,0.023717,10.042
-OMP_NUM_THREADS=1 mg.aot,18.574712,0.002
-a=b redis.aot,34.847002,23.079
-a=b linpack.aot,37.00937,0.003
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,799.227787,9.003
-OMP_NUM_THREADS=1 cg.aot,24.116978,0.052
-OMP_NUM_THREADS=1 ep.aot,0.000501,0.052
-OMP_NUM_THREADS=1 ft.aot,28.097015,25.016
-OMP_NUM_THREADS=1 lu.aot,0.022781,12.041
-OMP_NUM_THREADS=1 mg.aot,18.495219,89.088
-a=b redis.aot,35.798685,27.058
-a=b linpack.aot,36.814429,10.046
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,743.609241,0.002
-OMP_NUM_THREADS=1 cg.aot,21.472738,24.009
-OMP_NUM_THREADS=1 ep.aot,0.000507,0.003
-OMP_NUM_THREADS=1 ft.aot,27.901536,9.011
-OMP_NUM_THREADS=1 lu.aot,0.022625,0.052
-OMP_NUM_THREADS=1 mg.aot,18.491945,0.052
-a=b redis.aot,35.126543,26.035
-a=b linpack.aot,37.132155,12.028
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,762.204546,83.044
-OMP_NUM_THREADS=1 cg.aot,23.295101,27.082
-OMP_NUM_THREADS=1 ep.aot,0.000545,10.056
-OMP_NUM_THREADS=1 ft.aot,37.508713,0.002
-OMP_NUM_THREADS=1 lu.aot,0.024291,27.004
-OMP_NUM_THREADS=1 mg.aot,19.495638,0.003
-a=b redis.aot,36.892017,9.007
-a=b linpack.aot,19.805608,0.052
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,785.371629,7.09
-OMP_NUM_THREADS=1 cg.aot,20.722234,25.097
-OMP_NUM_THREADS=1 ep.aot,0.000427,12.047
-OMP_NUM_THREADS=1 ft.aot,27.942502,86.088
-OMP_NUM_THREADS=1 lu.aot,0.023177,27.04
-OMP_NUM_THREADS=1 mg.aot,18.482471,10.044
-a=b redis.aot,35.381083,0.002
-a=b linpack.aot,37.148041,24.065
-a=b rgbd_tum.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,757.206547,0.003
-OMP_NUM_THREADS=1 cg.aot,20.886888,9.018
-OMP_NUM_THREADS=1 ep.aot,0.000421,0.053
-OMP_NUM_THREADS=1 ft.aot,27.930926,0.017
-OMP_NUM_THREADS=1 lu.aot,0.022977,25.085
-OMP_NUM_THREADS=1 mg.aot,18.825622,12.038
-a=b redis.aot,37.090249,86.066
+a=b linpack-stack.aot,22.375226,26.06
+OMP_NUM_THREADS=1 llama-stack.aot stories110M.bin -z tokenizer.bin -t 0.0,13.907481,12.062
+a=b rgbd_tum-stack.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,195.641854,91.005
+OMP_NUM_THREADS=1 bt-stack.aot,44.273104,150.008
+OMP_NUM_THREADS=1 cg-stack.aot,20.147779,65.097
+OMP_NUM_THREADS=1 ep-stack.aot,0.000259,0.029
+OMP_NUM_THREADS=1 ft-stack.aot,27.976403,138.086
+OMP_NUM_THREADS=1 lu-stack.aot,0.015354,0.013
+OMP_NUM_THREADS=1 mg-stack.aot,15.557569,57.002
+OMP_NUM_THREADS=1 sp-stack.aot,4.120332,0.054
+a=b redis-stack.aot,12.275519,128.018
+a=b linpack-stack.aot,39.574689,27.097
+OMP_NUM_THREADS=1 llama-stack.aot stories110M.bin -z tokenizer.bin -t 0.0,13.067252,13.001
+a=b rgbd_tum-stack.aot ./ORBvoc.txt ./TUM3.yaml ./ ./associations/fr1_xyz.txt,181.33331,102.06
+OMP_NUM_THREADS=1 bt-stack.aot,41.422482,165.071
+OMP_NUM_THREADS=1 cg-stack.aot,20.387558,68.007
+OMP_NUM_THREADS=1 ep-stack.aot,0.000308,0.029
+OMP_NUM_THREADS=1 ft-stack.aot,28.016912,131.074
+OMP_NUM_THREADS=1 lu-stack.aot,0.015908,0.01
+OMP_NUM_THREADS=1 mg-stack.aot,15.597774,58.0
+OMP_NUM_THREADS=1 sp-stack.aot,4.21897,0.057
+a=b redis-stack.aot,12.718634,130.03
+
diff --git a/artifact/result/windows.pdf b/artifact/result/windows.pdf
index f2f8e9c..79d0f2c 100644
Binary files a/artifact/result/windows.pdf and b/artifact/result/windows.pdf differ
diff --git a/artifact/usecase_burst_computing.py b/artifact/usecase_burst_computing.py
index 75a389e..ff67531 100644
--- a/artifact/usecase_burst_computing.py
+++ b/artifact/usecase_burst_computing.py
@@ -16,18 +16,18 @@
 new_port12 = 14440
 cmd = [
     "redis",  # low priority task
-    "redis",  # high priority task
+    "rgbd_tum",  # high priority task
 ]
 folder = [
     "redis",
-    "redis",  # frame per cents
+    "ORB_SLAM2",  # frame per cents
 ]
 arg = [
     [],
     [
         "./ORBvoc.txt",
         "./TUM3.yaml",
-        "./rgbd_dataset_freiburg3_long_office_household_validation",
+        "./",
         "./associations/fr3_office_val.txt",
     ],
 ]
@@ -311,7 +311,7 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps):
             time_spots1.append(new_time_spot)
         time_spots1.pop(to_pop)
         if idx != len(exec_time1) - 1:
-            time_spots1.append(time[idx + 6] - sum(exec_time1[idx+1]) - base)
+            time_spots1.append(time[idx + 6] - sum(exec_time1[idx + 1]) - base)
     avg_extended, percentile99_extended = get_avg_99percent(sum_aot)
     avg_exec_time1, percentile_99_exec_time1 = get_avg_99percent(sum_aot1)
     ax.plot(time_spots, avg_extended, "blue")
@@ -358,9 +358,7 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps):
         for line in aot:
             try:
                 if line.__contains__("2024"):
-                    exec_time_aot1.append(
-                        parse_time_no_msec(line.split(" ")[3]) - 10
-                    )
+                    exec_time_aot1.append(parse_time_no_msec(line.split(" ")[3]) - 10)
                     cpu.append(0)
                     memory.append(0)
                     # print(exec_time)
@@ -435,84 +433,76 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps):
     # print("slowtier = ", slowtier)
     # snapshot = get_snapshot_overhead()
     # print("snapshot = ", snapshot)
-    # plot skew
+    # # plot skew
     # write_to_csv("burst_computing.csv")
 
     # results = read_from_csv("burst_computing.csv")
     # plot(results)
-    # reu = get_burst_compute()
-    cmd = f"cat ./MVVM_checkpoint.0.out ./MVVM_restore.0.out ./MVVM_restore.1.out ./MVVM_restore.2.out ./MVVM_restore.3.out  ./MVVM_checkpoint.1.out ./MVVM_restore.4.out ./MVVM_restore.5.out ./MVVM_restore.6.out"
-    cmd = cmd.split()
-    result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-    try:
-        output = result.stdout.decode("utf-8")
-    except:
-        output = result.stdout
-    reu = output
+    reu = get_burst_compute()
     # reu=""
     with open("burst.txt", "w") as f:
         f.write(str(reu))
-    # reu = ""
-    # with open("burst.txt", "r") as f:
-    #     reu = f.read()
-    # with open("MVVM_checkpoint.ps.1.out") as f:
-    #     checkpoint1 = f.read()
-    # with open("MVVM_checkpoint.ps.out") as f:
-    #     checkpoint = f.read()
-    # with open("MVVM_restore.ps.6.out") as f:
-    #     restore6 = f.read()
-    # with open("MVVM_restore.ps.5.out") as f:
-    #     restore5 = f.read()
-    # with open("MVVM_restore.ps.4.out") as f:
-    #     restore4 = f.read()
-    # with open("MVVM_restore.ps.3.out") as f:
-    #     restore3 = f.read()
-    # with open("MVVM_restore.ps.2.out") as f:
-    #     restore2 = f.read()
-    # with open("MVVM_restore.ps.1.out") as f:
-    #     restore1 = f.read()
-    # with open("MVVM_restore.ps.out") as f:
-    #     restore = f.read()
-
-    # with open("MVVM_checkpoint.energy.1.out") as f:
-    #     checkpoint_energy1 = f.read()
-    # with open("MVVM_checkpoint.energy.out") as f:
-    #     checkpoint_energy = f.read()
-    # with open("MVVM_restore.energy.6.out") as f:
-    #     restore_energy6 = f.read()
-    # with open("MVVM_restore.energy.5.out") as f:
-    #     restore_energy5 = f.read()
-    # with open("MVVM_restore.energy.4.out") as f:
-    #     restore_energy4 = f.read()
-    # with open("MVVM_restore.energy.3.out") as f:
-    #     restore_energy3 = f.read()
-    # with open("MVVM_restore.energy.2.out") as f:
-    #     restore_energy2 = f.read()
-    # with open("MVVM_restore.energy.1.out") as f:
-    #     restore_energy1 = f.read()
-    # with open("MVVM_restore.energy.out") as f:
-    #     restore_energy = f.read()
+    reu = ""
+    with open("burst.txt", "r") as f:
+        reu = f.read()
+    with open("MVVM_checkpoint.ps.1.out") as f:
+        checkpoint1 = f.read()
+    with open("MVVM_checkpoint.ps.out") as f:
+        checkpoint = f.read()
+    with open("MVVM_restore.ps.6.out") as f:
+        restore6 = f.read()
+    with open("MVVM_restore.ps.5.out") as f:
+        restore5 = f.read()
+    with open("MVVM_restore.ps.4.out") as f:
+        restore4 = f.read()
+    with open("MVVM_restore.ps.3.out") as f:
+        restore3 = f.read()
+    with open("MVVM_restore.ps.2.out") as f:
+        restore2 = f.read()
+    with open("MVVM_restore.ps.1.out") as f:
+        restore1 = f.read()
+    with open("MVVM_restore.ps.out") as f:
+        restore = f.read()
+
+    with open("MVVM_checkpoint.energy.1.out") as f:
+        checkpoint_energy1 = f.read()
+    with open("MVVM_checkpoint.energy.out") as f:
+        checkpoint_energy = f.read()
+    with open("MVVM_restore.energy.6.out") as f:
+        restore_energy6 = f.read()
+    with open("MVVM_restore.energy.5.out") as f:
+        restore_energy5 = f.read()
+    with open("MVVM_restore.energy.4.out") as f:
+        restore_energy4 = f.read()
+    with open("MVVM_restore.energy.3.out") as f:
+        restore_energy3 = f.read()
+    with open("MVVM_restore.energy.2.out") as f:
+        restore_energy2 = f.read()
+    with open("MVVM_restore.energy.1.out") as f:
+        restore_energy1 = f.read()
+    with open("MVVM_restore.energy.out") as f:
+        restore_energy = f.read()
 
     plot_time(
         reu,
-        None,
-        None,
-        None,
-        None,
-        # [
-        #     checkpoint_energy,
-        #     restore_energy,
-        #     restore_energy1,
-        #     restore_energy3,
-        #     restore_energy2,
-        # ],
-        # [checkpoint1, restore3, restore4, restore5, restore6],
-        # [
-        #     checkpoint_energy1,
-        #     restore_energy3,
-        #     restore_energy4,
-        #     restore_energy5,
-        #     restore_energy6,
-        # ],
-        # [checkpoint1, restore3, restore4, restore5, restore6],
+        # None,
+        # None,
+        # None,
+        # None,
+        [
+            checkpoint_energy,
+            restore_energy,
+            restore_energy1,
+            restore_energy3,
+            restore_energy2,
+        ],
+        [checkpoint1, restore3, restore4, restore5, restore6],
+        [
+            checkpoint_energy1,
+            restore_energy3,
+            restore_energy4,
+            restore_energy5,
+            restore_energy6,
+        ],
+        [checkpoint1, restore3, restore4, restore5, restore6],
     )
diff --git a/artifact/usecase_optimistic_computing.py b/artifact/usecase_optimistic_computing.py
index 11a02d0..f246f96 100644
--- a/artifact/usecase_optimistic_computing.py
+++ b/artifact/usecase_optimistic_computing.py
@@ -365,9 +365,9 @@ def plot_time(reu, checkpoint, checkpoint1, restore, restore1):
     avg_extended, percentile99_extended = get_avg_99percent(exec_time[1] + exec_time[2] + exec_time[3])
     avg_exec_time1, percentile_99_exec_time1 = get_avg_99percent(exec_time[0])
     ax.plot(time_spots, avg_extended, "blue")
-    # ax.plot(time_spots, percentile99_extended, color="purple", linestyle="--")
+    ax.plot(time_spots, percentile99_extended, color="purple", linestyle="--")
     ax.plot(time_spots2, avg_exec_time1, "r")
-    # ax.plot(time_spots2, percentile_99_exec_time1, color="pink", linestyle="--")
+    ax.plot(time_spots2, percentile_99_exec_time1, color="pink", linestyle="--")
     ax.set_xlabel("Time (s)")
     ax.set_ylabel("Average Trial Time (s)")
     plt.savefig("optimistic.pdf")
@@ -482,9 +482,9 @@ def plot_time(reu, checkpoint, checkpoint1, restore, restore1):
     # # plot skew
     # write_to_csv("optimisitc_computing.csv")
 
-    results = read_from_csv("optimistic_computing.csv")
+    # results = read_from_csv("optimistic_computing.csv")
 
-    plot(results)
+    # plot(results)
     # reu = get_optimiztic_compute_overhead()
     # with open("optimistic.txt", "w") as f:
     #     f.write(str(reu))
diff --git a/bench/CMakeLists.txt b/bench/CMakeLists.txt
index 8c47c54..a33c30a 100644
--- a/bench/CMakeLists.txt
+++ b/bench/CMakeLists.txt
@@ -9,70 +9,70 @@ else ()
 endif ()
 
 include(ExternalProject)
-ExternalProject_Add(ORB_SLAM2
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./rgbd_tum ${CMAKE_CURRENT_BINARY_DIR}/rgbd_tum.wasm
-)
-ExternalProject_Add(ORB_SLAM2-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./rgbd_tum ${CMAKE_CURRENT_BINARY_DIR}/rgbd_tum
-)
-ExternalProject_Add(gapbs
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bc ${CMAKE_CURRENT_BINARY_DIR}/bc.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./bfs ${CMAKE_CURRENT_BINARY_DIR}/bfs.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cc ${CMAKE_CURRENT_BINARY_DIR}/cc.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cc_sv ${CMAKE_CURRENT_BINARY_DIR}/cc_sv.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./converter ${CMAKE_CURRENT_BINARY_DIR}/converter.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./pr ${CMAKE_CURRENT_BINARY_DIR}/pr.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./pr_spmv ${CMAKE_CURRENT_BINARY_DIR}/pr_spmv.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./sssp ${CMAKE_CURRENT_BINARY_DIR}/sssp.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./tc ${CMAKE_CURRENT_BINARY_DIR}/tc.wasm
-)
-ExternalProject_Add(gapbs-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bc ${CMAKE_CURRENT_BINARY_DIR}/bc &&
-        ${CMAKE_COMMAND} -E copy_if_different ./bfs ${CMAKE_CURRENT_BINARY_DIR}/bfs &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cc ${CMAKE_CURRENT_BINARY_DIR}/cc &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cc_sv ${CMAKE_CURRENT_BINARY_DIR}/cc_sv &&
-        ${CMAKE_COMMAND} -E copy_if_different ./converter ${CMAKE_CURRENT_BINARY_DIR}/converter &&
-        ${CMAKE_COMMAND} -E copy_if_different ./pr ${CMAKE_CURRENT_BINARY_DIR}/pr &&
-        ${CMAKE_COMMAND} -E copy_if_different ./pr_spmv ${CMAKE_CURRENT_BINARY_DIR}/pr_spmv &&
-        ${CMAKE_COMMAND} -E copy_if_different ./sssp ${CMAKE_CURRENT_BINARY_DIR}/sssp &&
-        ${CMAKE_COMMAND} -E copy_if_different ./tc ${CMAKE_CURRENT_BINARY_DIR}/tc
-)
+# ExternalProject_Add(ORB_SLAM2
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./rgbd_tum ${CMAKE_CURRENT_BINARY_DIR}/rgbd_tum.wasm
+# )
+# ExternalProject_Add(ORB_SLAM2-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         ${CMAKE_CURRENT_SOURCE_DIR}/ORB_SLAM2
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./rgbd_tum ${CMAKE_CURRENT_BINARY_DIR}/rgbd_tum
+# )
+ ExternalProject_Add(gapbs
+         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
+         UPDATE_COMMAND ""
+         PATCH_COMMAND ""
+         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+         -DCMAKE_BUILD_TYPE=Release
+         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
+         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+         ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
+         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bc ${CMAKE_CURRENT_BINARY_DIR}/bc.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./bfs ${CMAKE_CURRENT_BINARY_DIR}/bfs.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./cc ${CMAKE_CURRENT_BINARY_DIR}/cc.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./cc_sv ${CMAKE_CURRENT_BINARY_DIR}/cc_sv.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./converter ${CMAKE_CURRENT_BINARY_DIR}/converter.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./pr ${CMAKE_CURRENT_BINARY_DIR}/pr.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./pr_spmv ${CMAKE_CURRENT_BINARY_DIR}/pr_spmv.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./sssp ${CMAKE_CURRENT_BINARY_DIR}/sssp.wasm &&
+         ${CMAKE_COMMAND} -E copy_if_different ./tc ${CMAKE_CURRENT_BINARY_DIR}/tc.wasm
+ )
+# ExternalProject_Add(gapbs-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         ${CMAKE_CURRENT_SOURCE_DIR}/gapbs
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bc ${CMAKE_CURRENT_BINARY_DIR}/bc &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./bfs ${CMAKE_CURRENT_BINARY_DIR}/bfs &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./cc ${CMAKE_CURRENT_BINARY_DIR}/cc &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./cc_sv ${CMAKE_CURRENT_BINARY_DIR}/cc_sv &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./converter ${CMAKE_CURRENT_BINARY_DIR}/converter &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./pr ${CMAKE_CURRENT_BINARY_DIR}/pr &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./pr_spmv ${CMAKE_CURRENT_BINARY_DIR}/pr_spmv &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./sssp ${CMAKE_CURRENT_BINARY_DIR}/sssp &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./tc ${CMAKE_CURRENT_BINARY_DIR}/tc
+# )
  ExternalProject_Add(redis
         SOURCE_DIR        ${CMAKE_CURRENT_SOURCE_DIR}/redis
         UPDATE_COMMAND    ""
@@ -97,125 +97,125 @@ ExternalProject_Add(gapbs-native
         BUILD_COMMAND     ${CMAKE_COMMAND} --build .
         INSTALL_COMMAND   ${CMAKE_COMMAND} -E copy_if_different ./redis ${CMAKE_CURRENT_BINARY_DIR}/redis
  )
-ExternalProject_Add(ftp
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ftp
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk.cmake
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/ftp
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./dataServer ${CMAKE_CURRENT_BINARY_DIR}/dataServer.wasm && ${CMAKE_COMMAND} -E copy_if_different ./remoteClient ${CMAKE_CURRENT_BINARY_DIR}/remoteClient.wasm
-)
-ExternalProject_Add(nas
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/nas
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/nas
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bt ${CMAKE_CURRENT_BINARY_DIR}/bt.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cg ${CMAKE_CURRENT_BINARY_DIR}/cg.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./ep ${CMAKE_CURRENT_BINARY_DIR}/ep.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./ft ${CMAKE_CURRENT_BINARY_DIR}/ft.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./lu ${CMAKE_CURRENT_BINARY_DIR}/lu.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./mg ${CMAKE_CURRENT_BINARY_DIR}/mg.wasm &&
-        ${CMAKE_COMMAND} -E copy_if_different ./sp ${CMAKE_CURRENT_BINARY_DIR}/sp.wasm
-)
-ExternalProject_Add(nas-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/nas
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/nas
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bt ${CMAKE_CURRENT_BINARY_DIR}/bt &&
-        ${CMAKE_COMMAND} -E copy_if_different ./cg ${CMAKE_CURRENT_BINARY_DIR}/cg &&
-        ${CMAKE_COMMAND} -E copy_if_different ./ep ${CMAKE_CURRENT_BINARY_DIR}/ep &&
-        ${CMAKE_COMMAND} -E copy_if_different ./ft ${CMAKE_CURRENT_BINARY_DIR}/ft &&
-        ${CMAKE_COMMAND} -E copy_if_different ./lu ${CMAKE_CURRENT_BINARY_DIR}/lu &&
-        ${CMAKE_COMMAND} -E copy_if_different ./mg ${CMAKE_CURRENT_BINARY_DIR}/mg &&
-        ${CMAKE_COMMAND} -E copy_if_different ./sp ${CMAKE_CURRENT_BINARY_DIR}/sp
-)
-ExternalProject_Add(llama
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/llama
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
-        -DCMAKE_BUILD_TYPE=Release
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/llama
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./llama ${CMAKE_CURRENT_BINARY_DIR}/llama.wasm
-)
-ExternalProject_Add(llama-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/llama
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DCMAKE_BUILD_TYPE=Release
-        ${CMAKE_CURRENT_SOURCE_DIR}/llama
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./llama ${CMAKE_CURRENT_BINARY_DIR}/llama
-)
-ExternalProject_Add(linpack
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/linpack
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk.cmake
-        -DCMAKE_BUILD_TYPE=Release
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/linpack
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./linpack ${CMAKE_CURRENT_BINARY_DIR}/linpack.wasm
-)
-ExternalProject_Add(linpack-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/linpack
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/linpack
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./linpack ${CMAKE_CURRENT_BINARY_DIR}/linpack
-)
-ExternalProject_Add(hdastar
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
-        -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
-        -DCMAKE_BUILD_TYPE=Release
-        -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./hw5 ${CMAKE_CURRENT_BINARY_DIR}/hdastar.wasm
-)
-ExternalProject_Add(hdastar-native
-        SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
-        UPDATE_COMMAND ""
-        PATCH_COMMAND ""
-        CONFIGURE_COMMAND ${CMAKE_COMMAND}
-        -GNinja -DCMAKE_BUILD_TYPE=Release
-        -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
-        ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
-        BUILD_COMMAND ${CMAKE_COMMAND} --build .
-        INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./hw5 ${CMAKE_CURRENT_BINARY_DIR}/hdastar
-)
+# ExternalProject_Add(ftp
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/ftp
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk.cmake
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/ftp
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./dataServer ${CMAKE_CURRENT_BINARY_DIR}/dataServer.wasm && ${CMAKE_COMMAND} -E copy_if_different ./remoteClient ${CMAKE_CURRENT_BINARY_DIR}/remoteClient.wasm
+# )
+# ExternalProject_Add(nas
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/nas
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/nas
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bt ${CMAKE_CURRENT_BINARY_DIR}/bt.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./cg ${CMAKE_CURRENT_BINARY_DIR}/cg.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./ep ${CMAKE_CURRENT_BINARY_DIR}/ep.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./ft ${CMAKE_CURRENT_BINARY_DIR}/ft.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./lu ${CMAKE_CURRENT_BINARY_DIR}/lu.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./mg ${CMAKE_CURRENT_BINARY_DIR}/mg.wasm &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./sp ${CMAKE_CURRENT_BINARY_DIR}/sp.wasm
+# )
+# ExternalProject_Add(nas-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/nas
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -DCMAKE_BUILD_TYPE=Release
+#         -GNinja -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/nas
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./bt ${CMAKE_CURRENT_BINARY_DIR}/bt &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./cg ${CMAKE_CURRENT_BINARY_DIR}/cg &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./ep ${CMAKE_CURRENT_BINARY_DIR}/ep &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./ft ${CMAKE_CURRENT_BINARY_DIR}/ft &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./lu ${CMAKE_CURRENT_BINARY_DIR}/lu &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./mg ${CMAKE_CURRENT_BINARY_DIR}/mg &&
+#         ${CMAKE_COMMAND} -E copy_if_different ./sp ${CMAKE_CURRENT_BINARY_DIR}/sp
+# )
+# ExternalProject_Add(llama
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/llama
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
+#         -DCMAKE_BUILD_TYPE=Release
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/llama
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./llama ${CMAKE_CURRENT_BINARY_DIR}/llama.wasm
+# )
+# ExternalProject_Add(llama-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/llama
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DCMAKE_BUILD_TYPE=Release
+#         ${CMAKE_CURRENT_SOURCE_DIR}/llama
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./llama ${CMAKE_CURRENT_BINARY_DIR}/llama
+# )
+# ExternalProject_Add(linpack
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/linpack
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk.cmake
+#         -DCMAKE_BUILD_TYPE=Release
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/linpack
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./linpack ${CMAKE_CURRENT_BINARY_DIR}/linpack.wasm
+# )
+# ExternalProject_Add(linpack-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/linpack
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/linpack
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./linpack ${CMAKE_CURRENT_BINARY_DIR}/linpack
+# )
+# ExternalProject_Add(hdastar
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DWASI_SDK_DIR=${WASI_SDK} -DWASI_SDK_PREFIX=${WASI_SDK}
+#         -DCMAKE_TOOLCHAIN_FILE=${WASI_SDK}/share/cmake/wasi-sdk-pthread.cmake
+#         -DCMAKE_BUILD_TYPE=Release
+#         -DCMAKE_SYSROOT=${WASI_SDK}/share/wasi-sysroot -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./hw5 ${CMAKE_CURRENT_BINARY_DIR}/hdastar.wasm
+# )
+# ExternalProject_Add(hdastar-native
+#         SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
+#         UPDATE_COMMAND ""
+#         PATCH_COMMAND ""
+#         CONFIGURE_COMMAND ${CMAKE_COMMAND}
+#         -GNinja -DCMAKE_BUILD_TYPE=Release
+#         -DCMAKE_C_COMPILER_WORK=1 -DCMAKE_CXX_COMPILER_WORK=1
+#         ${CMAKE_CURRENT_SOURCE_DIR}/hdastar
+#         BUILD_COMMAND ${CMAKE_COMMAND} --build .
+#         INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different ./hw5 ${CMAKE_CURRENT_BINARY_DIR}/hdastar
+# )
 
 if (WAMR_BUILD_AOT)
     function(bench_wamr_app input)
@@ -249,11 +249,47 @@ if (WAMR_BUILD_AOT)
         )
         add_custom_target(${input}_ckpt_loop_dirty_compile ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-dirty.aot)
 
-        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-every-dirty.aot
-                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --disable-aux-stack-check --enable-every-checkpoint --enable-aux-stack-dirty-bit -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-every-dirty.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-30.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=30 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-30.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
                 DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
         )
-        add_custom_target(${input}_ckpt_every_dirty_compile DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-every-dirty.aot)
+        add_custom_target(${input}_ckpt_loop_counter_compile_30 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-30.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-20.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=20 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-20.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+                DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        )
+        add_custom_target(${input}_ckpt_loop_counter_compile_20 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-20.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-16.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=16 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-16.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+                DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        )
+        add_custom_target(${input}_ckpt_loop_counter_compile_16 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-16.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-8.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=8 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-8.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+                DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        )
+        add_custom_target(${input}_ckpt_loop_counter_compile_8 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-8.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-4.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=4 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-4.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+                DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        )
+        add_custom_target(${input}_ckpt_loop_counter_compile_4 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-4.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-1.aot
+                COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --threshold-bits=1 --disable-aux-stack-check --enable-counter-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-1.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+                DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        )
+        add_custom_target(${input}_ckpt_loop_counter_compile_1 ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-counter-1.aot)
+
+        add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-pgo.aot
+        COMMAND ${CMAKE_SOURCE_DIR}/lib/wasm-micro-runtime/wamr-compiler/build/wamrc --enable-checkpoint-pgo --disable-aux-stack-check --enable-loop-checkpoint -o ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-pgo.aot ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+        DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}.wasm
+)
+add_custom_target(${input}_ckpt_loop_pgo ALL DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${input}-ckpt-loop-pgo.aot)
 
         add_test(NAME bench_${input}_checkpoint COMMAND ${CMAKE_CURRENT_BINARY_DIR}/../MVVM_checkpoint --target ${CMAKE_CURRENT_BINARY_DIR}/${input}.aot)
         add_test(NAME bench_${input}_restore COMMAND ${CMAKE_CURRENT_BINARY_DIR}/../MVVM_restore --target ${CMAKE_CURRENT_BINARY_DIR}/${input}.aot)
diff --git a/src/profile.cpp b/src/profile.cpp
index 7be0757..d032cb4 100644
--- a/src/profile.cpp
+++ b/src/profile.cpp
@@ -44,8 +44,8 @@ void unwind(WASMExecEnv *instance) {
     }
     stack_record.emplace_back(stack);
 }
-
-void profile_sigint_handler(int sig) { wamr->replace_nop_with_int3(); }
+void profile_register_sigtrap();
+void profile_sigfault_handler(int sig) { usleep(100); }
 
 void profile_sigtrap_handler(int sig) {
     auto exec_env = wamr->get_exec_env();
@@ -54,18 +54,46 @@ void profile_sigtrap_handler(int sig) {
 }
 
 void profile_register_sigtrap() {
+#if defined(_WIN32)
+    signal(SIGILL, sigtrap_handler);
+    SPDLOG_DEBUG("SIGILL registered");
+#else
     struct sigaction sa {};
     sigemptyset(&sa.sa_mask);
     sa.sa_handler = profile_sigtrap_handler;
     sa.sa_flags = SA_RESTART;
 
+    struct sigaction sb {};
+    sigemptyset(&sb.sa_mask);
+    sb.sa_handler = profile_sigfault_handler;
+    sb.sa_flags = SA_RESTART;
+
     // Register the signal handler for SIGTRAP
     if (sigaction(SIGTRAP, &sa, nullptr) == -1) {
         SPDLOG_ERROR("Error: cannot handle SIGTRAP");
         exit(-1);
+    } else {
+        if (sigaction(SIGSYS, &sa, nullptr) == -1) {
+            SPDLOG_ERROR("Error: cannot handle SIGSYS");
+            exit(-1);
+        } else {
+            if (sigaction(SIGSEGV, &sb, nullptr) == -1) {
+                SPDLOG_ERROR("Error: cannot handle SIGSEGV");
+                exit(-1);
+            } else {
+                SPDLOG_DEBUG("SIGSEGV registered");
+            }
+            SPDLOG_DEBUG("SIGSYS registered");
+        }
+        SPDLOG_DEBUG("SIGTRAP registered");
     }
+#endif
+}
+void profile_sigint_handler(int sig) {
+    wamr->int3_ul = std::unique_lock(wamr->int3_mtx);
+    wamr->replace_nop_with_int3();
+    wamr->int3_cv.notify_all();
 }
-
 void profile_register_sigint() {
     struct sigaction sa {};
     sigemptyset(&sa.sa_mask);
@@ -209,7 +237,7 @@ int main(int argc, char *argv[]) {
     for (const auto &e : func_count) {
         func_idx.emplace_back(e.first);
     }
-    auto get_func_name = "python3 /workspaces/MVVM/artifact/get_func_name.py " + wasm_file;
+    auto get_func_name = "python3 ../artifact/get_func_name.py " + wasm_file;
     for (const auto &e : func_idx) {
         get_func_name += " " + std::to_string(e);
     }
diff --git a/src/wamr.cpp b/src/wamr.cpp
index f5d5c33..10397ac 100644
--- a/src/wamr.cpp
+++ b/src/wamr.cpp
@@ -521,8 +521,8 @@ void WAMRInstance::recover(std::vector<std::unique_ptr<WAMRExecEnv>> *e_) {
 
 //    invoke_init_c();
 #if WASM_ENABLE_LIB_PTHREAD != 0
-    SPDLOG_ERROR("no impl");
-    exit(-1);
+    // SPDLOG_ERROR("no impl");
+    // exit(-1);
     spawn_child(main_env, true);
 #endif
     // restart main thread execution
@@ -967,6 +967,10 @@ void serialize_to_file(WASMExecEnv *instance) {
     }
     // finish filling vector
 #endif
+    auto end1 = std::chrono::high_resolution_clock::now();
+    // get duration in us
+    auto dur1 = std::chrono::duration_cast<std::chrono::microseconds>(end1 - start);
+    SPDLOG_INFO("Snapshot Overhead: {} s", dur1.count() / 1000000.0);
 #if __linux__
     if (dynamic_cast<RDMAWriteStream *>(writer)) {
         auto buffer = struct_pack::serialize(as);