diff --git a/artifact/bench_loop_counter.py b/artifact/bench_loop_counter.py new file mode 100644 index 0000000..4b98807 --- /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=10) + + +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__("Max Interval:"): + 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)) \ No newline at end of file diff --git a/artifact/common_util.py b/artifact/common_util.py index 988536e..e6172be 100644 --- a/artifact/common_util.py +++ b/artifact/common_util.py @@ -7,13 +7,248 @@ from collections import defaultdict import csv -pwd_mac = "/mnt/MVVM" +pwd_mac = "/Users/victoryang00/Documents/project/MVVM-bench/build" pwd = "/mnt/MVVM" slowtier = "giga-root" -burst = "giga-root" +burst = "mac" energy = "bana" +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" +] +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<> MVVM_restore.0.out &" + # f"script -f -q /dev/null -c 'ssh -t {burst} ./MVVM_restore -t ./bench/{aot_file1} {extra2}' >> MVVM_restore.0.out &" # ) - # # exec_with_log( - # # f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 0 {aot_file} &" - # # ) # exec_with_log( - # f"script -f -q /dev/null -c ' SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file1} {extra3}' >> MVVM_restore.1.out &" + # f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file1} {extra3}' >> MVVM_restore.1.out &" # ) - # # exec_with_log( - # # f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 1 {aot_file} &" - # # ) # exec_with_log( - # f"script -f -q /dev/null -c ' SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file} {extra7}' >> MVVM_restore.4.out &" + # f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file} {extra7}' >> MVVM_restore.4.out &" # ) - # # exec_with_log( - # # f"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 4 {aot_file1} &" - # # ) - # exec_with_log("sleep 100") + # exec_with_log("sleep 40") # 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"sudo ../artifact/run_with_energy_monitoring.sh MVVM_checkpoint 0 {aot_file} &" - # # ) - # exec_with_log("sleep 1000") + # exec_with_log("sleep 840") # exec_with_log( - # f"script -f -q /dev/null -c 'ssh -t {burst} \"cd /mnt/MVVM/build && SPDLOG_LEVEL=debug ./MVVM_checkpoint -t ./bench/{aot_file} {' '.join(['-a ' + str(x) for x in arg])} -e {env} {extra6}\"' > MVVM_checkpoint.1.out &" + # 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("sleep 20") # # 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") - # exec_with_log("sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - # exec_with_log("sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - # exec_with_log("sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - # exec_with_log("sleep 100") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_checkpoint") # pkill 0 and checkpoint 1 - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_checkpoint") # pkill 0 and checkpoint 1 - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_checkpoint") # pkill 0 and checkpoint 1 - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_checkpoint") # pkill 0 and checkpoint 1 - # exec_with_log("sleep 15") - # # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") + # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_checkpoint") + # exec_with_log("sleep 40") - - # # exec_with_log("sleep 100") - # # exec_with_log(f"pkill -SIGINT MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"pkill -SIGINT MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"pkill -SIGINT MVVM_restore") - # # exec_with_log("sleep 15") - # # exec_with_log(f"pkill -SIGINT MVVM_restore") + # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") + # exec_with_log("sleep 10") + # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") + # exec_with_log("sleep 10") + # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") + # exec_with_log("sleep 10") + # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") + # exec_with_log( - # f"script -f -q /dev/null -c 'ssh -t {burst} \"cd /mnt/MVVM/build && SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file1} {extra4}\"' >> MVVM_restore.2.out &" + # 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} \"cd /mnt/MVVM/build && SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file} {extra8}\"' >> MVVM_restore.5.out &" + # f"script -f -q /dev/null -c 'ssh -t {burst} ./MVVM_restore -t ./bench/{aot_file} {extra8}' >> MVVM_restore.5.out &" # ) - # # exec_with_log( - # # f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 5 {aot_file1} &" - # # ) - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - # exec_with_log("sleep 15") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT -f MVVM_restore") - - # exec_with_log("sleep 150") + + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_restore") - # exec_with_log(f"sleep 15") + # exec_with_log("sleep 30") # exec_with_log(f"pkill -SIGINT MVVM_restore") - # exec_with_log(f"sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_restore") - # exec_with_log(f"sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"pkill -SIGINT MVVM_restore") - # exec_with_log(f"sleep 15") + # exec_with_log( - # f"script -f -q /dev/null -c ' SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file} {extra9}' >> MVVM_restore.6.out &" + # 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 'SPDLOG_LEVEL=debug ./MVVM_restore -t ./bench/{aot_file1} {extra5}' >> MVVM_restore.3.out &" + # 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 50") - # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") - # exec_with_log("sleep 15") + # exec_with_log("sleep 10") # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") - # exec_with_log("sleep 15") + # exec_with_log("sleep 30") # exec_with_log(f"ssh -t {burst} pkill -SIGINT MVVM_restore") - # exec_with_log("sleep 15") + # exec_with_log("sleep 10") # 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 ./") - exec_with_log("rm ./*.out") - 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") - # Execute run_restore with the same arguments (or modify as needed) - exec_with_log( - f"script -f -q /dev/null -c 'ssh -t {burst} ./MVVM_restore -t ./bench/{aot_file1} {extra2}' >> MVVM_restore.0.out &" - ) - exec_with_log( - f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 0 {aot_file} &" - ) - - exec_with_log( - f"script -f -q /dev/null -c './MVVM_restore -t ./bench/{aot_file1} {extra3}' >> MVVM_restore.1.out &" - ) - exec_with_log( - 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"sudo ../artifact/run_with_energy_monitoring.sh MVVM_restore 4 {aot_file1} &" - ) - 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"sudo ../artifact/run_with_energy_monitoring.sh MVVM_checkpoint 0 {aot_file} &" - ) - - exec_with_log("sleep 500") - - 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("sleep 20") - # 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") - exec_with_log("sleep 1") - exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - exec_with_log(f"pkill -SIGINT MVVM_checkpoint") - - exec_with_log("sleep 100") - exec_with_log(f"ssh -t {burst} kill -SIGINT -f MVVM_checkpoint") # kill 0 and checkpoint 1 - exec_with_log("sleep 1") - exec_with_log(f"ssh -t {burst} kill -SIGINT -f MVVM_restore") - - exec_with_log("sleep 100") - 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( - f"ssh -t {burst} {pwd_mac}/artifact/run_with_energy_monitoring_mac.sh MVVM_restore 5 {aot_file1} &" - ) - - exec_with_log("sleep 150") - exec_with_log(f"pkill -SIGINT MVVM_restore") - exec_with_log(f"sleep 1") - 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 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 ./") - cmd = f"cat ./MVVM_checkpoint.0.out ./MVVM_checkpoint.1.out ./MVVM_restore.0.out ./MVVM_restore.1.out ./MVVM_restore.2.out ./MVVM_restore.3.out ./MVVM_restore.4.out ./MVVM_restore.5.out ./MVVM_restore.6.out" + 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: @@ -1142,4 +1237,4 @@ def run_qemu_aarch64( plot_whole(["policy.csv", "policy_multithread.csv", "policy_mac.csv"], "policy.pdf") # read_csv_from_file("policy.csv") - calculate_averages_comparison() \ No newline at end of file + calculate_averages_comparison() diff --git a/artifact/result/policy_loop_counter.csv b/artifact/result/policy_loop_counter.csv new file mode 100644 index 0000000..a692d85 --- /dev/null +++ b/artifact/result/policy_loop_counter.csv @@ -0,0 +1,2225 @@ +name,-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,.aot +a=b sgemm.aot,19.553305,11.106665,10.039641,9.968458,9.8815,9.965789,1.270137 +a=b sgemm.aot,18.726828,10.646785,10.061197,9.939815,9.582447,10.35469,1.972702 +a=b sgemm.aot,19.112078,10.678862,10.658144,10.012785,9.625442,9.667262,1.307876 +a=b sgemm.aot,20.335171,11.40533,10.223342,10.155948,11.679472,9.69687,1.244744 +a=b sgemm.aot,19.861365,11.416625,9.890866,11.937307,12.764401,10.710684,1.418403 +a=b sgemm.aot,19.433694,11.882194,9.916272,9.979081,11.827788,11.700002,1.921702 +a=b sgemm.aot,20.385851,10.809092,11.086685,10.541179,9.684704,9.650472,2.039904 +a=b sgemm.aot,19.772133,11.805546,9.801175,11.047851,10.366718,9.672041,2.612064 +a=b sgemm.aot,18.024641,10.780132,10.981335,9.556058,10.594433,9.625474,2.472869 +a=b sgemm.aot,17.430798,10.750967,9.896621,9.268864,9.438963,10.38759,1.734736 +name,-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,.aot +name,-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,.aot +name,-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 +name,-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 +name,-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 +llama,15.981198,12.396733,13.4094,12.246742,12.885362,12.165065,12.763997 +bc,12.763997,462.904629,485.847953,489.643233,489.643233,478.362821,381.000287 +bfs,154.759282,114.439946,125.082288,113.163371,115.978367,127.50566,81.283994 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+redis,335.797242,307.659734,310.257285,330.852672,320.844767,311.524671,287.164724 +hdastar,16.501653,15.036539,17.711253,14.602619,12.975433,14.070964,8.723697 +name,-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 +OMP_NUM_THREADS=4 llama,15.981198,12.396733,13.4094,12.246742,12.885362,12.165065,12.763997 +OMP_NUM_THREADS=4 bc,12.763997,462.904629,485.847953,489.643233,489.643233,478.362821,381.000287 +OMP_NUM_THREADS=4 bfs,154.759282,114.439946,125.082288,113.163371,115.978367,127.50566,81.283994 +OMP_NUM_THREADS=4 cc,81.283994,225.115892,207.623311,195.823366,198.784678,193.677002,172.527476 +OMP_NUM_THREADS=4 cc_sv,288.675551,250.971174,250.158469,250.115278,230.836615,256.61201,219.551605 +OMP_NUM_THREADS=4 pr,153.67128,100.283685,112.352243,110.188517,105.992682,106.832864,72.395833 +OMP_NUM_THREADS=4 pr_spmv,187.822137,137.977039,132.273001,133.112566,125.433072,125.391697,88.750578 +OMP_NUM_THREADS=4 sssp,461.161406,427.132311,433.194018,388.47179,388.47179,385.462353,318.734922 +OMP_NUM_THREADS=4 tc,65.332055,59.68454,51.462574,49.74972,48.402417,54.38458,43.283509 +OMP_NUM_THREADS=4 bt,128.084308,111.493026,108.296698,109.06923,118.482373,110.683432,100.988717 +OMP_NUM_THREADS=4 cg,67.46988,52.969566,52.662586,49.507845,47.658422,48.331532,36.217264 +OMP_NUM_THREADS=4 ep,0.002818,0.002788,0.002886,0.002627,0.003642,0.003129,0.002678 +OMP_NUM_THREADS=4 ft,68.487902,33.655742,31.360332,29.594364,33.96933,35.415895,23.79445 +OMP_NUM_THREADS=4 lu,0.071267,0.058364,0.059135,0.060622,0.059861,0.055509,0.055055 +OMP_NUM_THREADS=4 mg,53.363299,42.000732,48.478463,37.316936,40.288389,42.034871,36.744374 +OMP_NUM_THREADS=4 sp,53.205535,48.733511,45.236214,49.227874,50.076435,51.643341,42.191043 +OMP_NUM_THREADS=4 redis,335.797242,307.659734,310.257285,330.852672,320.844767,311.524671,287.164724 +a=b hdastar,16.501653,15.036539,17.711253,14.602619,12.975433,14.070964,8.723697 +name,-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 +OMP_NUM_THREADS=4 llama,15.981198,12.396733,13.4094,12.246742,12.885362,12.165065,12.763997 +OMP_NUM_THREADS=4 llama,12.763997,462.904629,485.847953,489.643233,489.643233,478.362821,381.000287 +OMP_NUM_THREADS=4 llama,154.759282,114.439946,125.082288,113.163371,115.978367,127.50566,81.283994 +OMP_NUM_THREADS=4 llama,81.283994,225.115892,207.623311,195.823366,198.784678,193.677002,172.527476 +OMP_NUM_THREADS=4 llama,288.675551,250.971174,250.158469,250.115278,230.836615,256.61201,219.551605 +OMP_NUM_THREADS=4 llama,153.67128,100.283685,112.352243,110.188517,105.992682,106.832864,72.395833 +OMP_NUM_THREADS=4 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lu.aot,0.000166,0.000208,0.000181,0.000219,0.000198,0.000224,0.00015,0.000147 +OMP_NUM_THREADS=1 mg.aot,0.000151,0.000181,0.000204,0.00021,0.000187,0.000178,0.000138,0.000152 +OMP_NUM_THREADS=1 sp.aot,0.000185,0.000205,0.000217,0.000181,0.000159,0.000182,0.00018,0.000173 +OMP_NUM_THREADS=1 redis.aot,0.000169,0.000157,0.000131,0.000149,0.000146,0.000215,0.000151,0.000176 +OMP_NUM_THREADS=1 llama.aot stories110M.bin -z tokenizer.bin -t 0.0,0.000144,0.000191,0.000191,0.000164,0.000149,0.000149,0.000133,0.000147 +OMP_NUM_THREADS=1 bc.aot -g20 -vn300,0.000172,0.000306,0.000186,0.000168,0.000145,0.00018,0.000189,0.000168 +OMP_NUM_THREADS=1 bfs.aot -g20 -vn300,0.000165,0.000187,0.000181,0.000136,0.00017,0.000175,0.000175,0.000166 +OMP_NUM_THREADS=1 cc.aot -g20 -vn300,0.000158,0.000165,0.000185,0.000162,0.000217,0.00019,0.000171,0.000152 +OMP_NUM_THREADS=1 cc_sv.aot -g20 -vn300,0.000158,0.000202,0.000148,0.000139,0.000197,0.000169,0.00017,0.000201 +OMP_NUM_THREADS=1 pr.aot -g20 -vn300,0.000173,0.000178,0.000179,0.000179,0.000138,0.000151,0.00018,0.000164 +OMP_NUM_THREADS=1 pr_spmv.aot -g20 -vn300,0.000212,0.000137,0.00019,0.000185,0.000182,0.000192,0.000227,0.000166 +OMP_NUM_THREADS=1 sssp.aot -g20 -vn300,0.000171,0.00018,0.000171,0.000143,0.000162,0.000177,0.000156,0.00017 +OMP_NUM_THREADS=1 tc.aot -g20 -n1,0.000177,0.000163,0.000193,0.000198,0.000162,0.000154,0.000148,0.000169 +OMP_NUM_THREADS=1 bt.aot,0.000178,0.000225,0.000174,0.00023,0.000193,0.000206,0.000225,0.000177 +OMP_NUM_THREADS=1 cg.aot,0.000111,0.00016,0.000173,0.000175,0.000159,0.000255,0.000137,0.000148 +OMP_NUM_THREADS=1 ep.aot,0.000148,0.000148,0.000148,0.000148,0.000148,0.000148,0.000148,0.000148 +OMP_NUM_THREADS=1 ft.aot,0.000209,0.000141,0.000174,0.000168,0.000184,0.000178,0.000166,0.000213 +OMP_NUM_THREADS=1 lu.aot,0.000161,0.000218,0.000202,0.000197,0.00021,0.000184,0.000159,0.000196 +OMP_NUM_THREADS=1 mg.aot,0.000164,0.000196,0.000262,0.000193,0.000187,0.000188,0.000138,0.000196 +OMP_NUM_THREADS=1 sp.aot,0.000168,0.000197,0.000202,0.000265,0.000193,0.000204,0.000195,0.000192 +OMP_NUM_THREADS=1 redis.aot,0.000161,0.000145,0.000161,0.000152,0.000133,0.0001,0.000139,0.00015 diff --git a/artifact/usecase_burst_computing.py b/artifact/usecase_burst_computing.py index 47babe5..c6b3bdb 100644 --- a/artifact/usecase_burst_computing.py +++ b/artifact/usecase_burst_computing.py @@ -7,7 +7,8 @@ from collections import defaultdict import subprocess -ip = ["192.168.0.24", "192.168.0.23"] +# ip = ["192.168.0.24", "192.168.0.23"] +ip = ["128.114.53.32", "128.114.59.212"] port = 12347 port2 = 12346 new_port = 1235 @@ -156,118 +157,29 @@ def read_from_csv(filename): return results -def plot(file_name): - workloads = defaultdict(list) - for workload, fasttier, slowtier, snapshot in results: - workloads[ - workload.replace("OMP_NUM_THREADS=", "") - .replace("-g15", "") - .replace("-n300", "") - .replace(" -f ", "") - .replace("-vn300", "") - .replace("maze-6404.txt", "") - .replace("stories110M.bin", "") - .replace("-z tokenizer.bin -t 0.0", "") - .replace("ORBvoc.txt", "") - .replace("TUM3.yaml", "") - .replace("./associations/fr1_xyz.txt", "") - .replace("./", "") - .strip() - ].append((fasttier, slowtier, snapshot)) - - # Calculate the medians and standard deviations for each workload - statistics = {} - for workload, times in workloads.items(): - fasttiers, slowtier, snapshots = zip(*times) - fasttiers = np.array(fasttiers).astype(float) - slowtier = np.array(slowtier).astype(float) - snapshots = np.array(snapshots).astype(float) - statistics[workload] = { - "fasttier_median": np.median(fasttiers), - "snapshot_median": np.median(snapshots), - "slowtier_median": np.median(slowtier), - "fasttier_std": np.std(fasttiers), - "snapshot_std": np.std(snapshots), - "slowtier_std": np.std(slowtier), - } - font = {"size": 14} - - # using rc function - plt.rc("font", **font) - # Plotting - fig, ax = plt.subplots(figsize=(15, 7)) - # Define the bar width and positions - bar_width = 0.7 / 3 - index = np.arange(len(statistics)) - - for i, (workload, stats) in enumerate(statistics.items()): - ax.bar( - index[i], - stats["fasttier_median"], - bar_width, - yerr=stats["fasttier_std"], - capsize=5, - color="blue", - label="fasttier" if i == 0 else "", - ) - ax.bar( - index[i] + bar_width, - stats["slowtier_median"], - bar_width, - yerr=stats["slowtier_std"], - capsize=5, - color="green", - label="slowtier" if i == 0 else "", - ) - ax.bar( - index[i] + 2 * bar_width, - stats["snapshot_median"], - bar_width, - yerr=stats["snapshot_std"], - capsize=5, - color="red", - label="snapshot" if i == 0 else "", - ) - # Labeling and formatting - ax.set_ylabel("Time(s)") - ax.set_xticks(index + bar_width) - ticklabel = (x.replace("a=b", "") for x in list(statistics.keys())) - ax.set_xticklabels(ticklabel, fontsize=10) - ax.legend() - - # Show the plot - plt.tight_layout() - plt.show() - plt.savefig("burst_compute.pdf") - # %% - - def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps): # get from reu # start time -> end time -> start time - reu = reu.replace("\\n", "\n").split("\n") + reu = reu.replace("\\n", "\n").replace("\\r", "\n").split("\n") state = 0 time = [] exec_time = [[], [], [], [], []] exec_time1 = [[], [], [], []] for line in reu: try: + if line.__contains__("ttrack"): + to_append = float(line.split(" ")[-1]) + # print("exec_time ",exec_time[-1]) + if to_append >= 0: + exec_time[state].append( to_append + 0.2) if line.__contains__("Iteration"): - to_append = float(line.split(" ")[-2]) + to_append = float(line.split(" ")[-2].replace("\\r", "")) if to_append > 0: - if state < 5: - exec_time[state].append(to_append) - else: - exec_time1[state - 5].append(to_append) + # print(state) + exec_time1[state-5].append(to_append) # print(exec_time) # print("exec_time ",exec_time[-1]) - if line.__contains__("ttrack"): - to_append = float(line.split(" ")[-1].replace("\\r", "")) - # print(exec_time) - # print("exec_time ",exec_time[-1]) - if to_append > 0: - exec_time[state].append(to_append) - if line.__contains__("Snapshot "): + if line.__contains__("Snapshot"): # print("line ", line) time.append( parse_time(line.split(" ")[1].replace("]", "")) @@ -275,20 +187,30 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps): ) print("time ", time) state += 1 - if line.__contains__("Execution "): + if line.__contains__("Execution"): time.append(parse_time(line.split(" ")[1].replace("]", ""))) print("time ", time) state += 1 - except : + except Exception as e: print(line) - # print(exec_time) + # pass + print(e) + print(exec_time) # print(exec_time1) # print(time) # record time fig, ax = plt.subplots() base = time[0] - sum(exec_time[0]) - sum_aot = exec_time[0] + exec_time[1] + exec_time[2] + exec_time[3] + exec_time[4] - sum_aot1 = exec_time1[0] + exec_time1[1] + exec_time1[2] + exec_time1[3] + sum_aot = ( + exec_time[0] + + exec_time[1] + + exec_time[2] + + exec_time[3] + + exec_time[4] + ) + sum_aot1 = ( + exec_time1[0] + exec_time1[1] + exec_time1[2] + exec_time1[3] + ) time_spots = [time[0] - sum(exec_time[0]) - base] for idx, i in enumerate(exec_time): @@ -301,9 +223,9 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps): time_spots.pop(to_pop) if idx != len(exec_time) - 1: time_spots.append(time[idx + 1] - sum(exec_time[idx + 1]) - base) - print(len(time)) - print(len(exec_time1)) - print(len(exec_time)) + # print(len(time)) + # print(len(exec_time1)) + # print(len(exec_time)) time_spots1 = [time[5] - sum(exec_time1[0]) - base] for idx, i in enumerate(exec_time1): @@ -314,122 +236,21 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps): # Append the new time spot to the sequence time_spots1.append(new_time_spot) time_spots1.pop(to_pop) - print(idx, len(exec_time1) - 1, len(time) - 1, len(time_spots1) - 1) if idx != len(exec_time1) -1: 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) + avg_extended, percentile99_extended = get_avg_99percent(sum_aot,1) + sum_aot1 = [x*30000 for x in sum_aot1 ] + avg_exec_time1, percentile_99_exec_time1 = get_avg_99percent(sum_aot1,10000) 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_spots1, avg_exec_time1, "r") - # ax.plot(time_spots1, percentile_99_exec_time1, color="pink", linestyle="-") + ax.plot(time_spots1, percentile_99_exec_time1, color="pink", linestyle="-") # ax.plot(time_spots,sum_aot, "blue") # ax.plot(time_spots1,sum_aot1, "r") ax.set_xlabel("Time (s)") ax.set_ylabel("Average Trial Time (s)") plt.savefig("burst.pdf") - cpu = [] - memory = [] - exec_time_aot = [] - cpu1 = [] - memory1 = [] - exec_time_aot1 = [] - energy = [] - exec_time_aot_energy = [] - energy1 = [] - exec_time_aot_energy1 = [] - - for aot in aot_ps: - aot = aot.split("\n") - for line in aot: - try: - if line.__contains__("2024"): - exec_time_aot.append(parse_time_no_msec(line.split(" ")[3])) - cpu1.append(0) - memory1.append(0) - # print(exec_time) - # print("exec_time ",exec_time[-1]) - else: - if float(line.split(" ")[2]) > 10: - cpu1.append(float(line.split(" ")[2])) - memory1.append(float(line.split(" ")[5])) - exec_time_aot.append(exec_time_aot[-1] + 0.5) - - except: - print(line) - for aot in aot_energy: - aot = aot.split("\n") - for line in aot: - try: - if line.__contains__("2024"): - exec_time_aot1.append(parse_time_no_msec(line.split(" ")[3]) - 10) - cpu.append(0) - memory.append(0) - # print(exec_time) - # print("exec_time ",exec_time[-1]) - else: - if float(line.split(" ")[2]) > 10: - cpu.append(float(line.split(" ")[2])) - memory.append(float(line.split(" ")[5])) - exec_time_aot1.append(exec_time_aot1[-1] + 0.5) - - except: - print(line) - print(len(exec_time_aot), len(cpu)) - for line in aot1_ps: - try: - if line.__contains__("2024"): - exec_time_aot.append(parse_time_no_msec(line.split(" ")[3])) - cpu.append(0) - memory.append(0) - # print(exec_time) - # print("exec_time ",exec_time[-1]) - else: - if float(line.split(" ")[2]) > 10: - cpu.append(float(line.split(" ")[2])) - memory.append(float(line.split(" ")[5])) - exec_time_aot.append(exec_time_aot[-1] + 0.5) - - except: - print(line) - print(len(exec_time_aot), len(cpu)) - for line in aot1_energy: - try: - if line.__contains__("2024"): - exec_time_aot.append(parse_time_no_msec(line.split(" ")[3])) - cpu.append(0) - memory.append(0) - # print(exec_time) - # print("exec_time ",exec_time[-1]) - else: - if float(line.split(" ")[2]) > 10: - cpu.append(float(line.split(" ")[2])) - memory.append(float(line.split(" ")[5])) - exec_time_aot.append(exec_time_aot[-1] + 0.5) - - except: - print(line) - print(exec_time_aot) - ax.plot(exec_time_aot, cpu, "b") - ax.plot(exec_time_aot1, cpu1, "r") - ax.set_xlabel("Time (s)") - ax.set_ylabel("Average CPU (percentage)") - plt.savefig("burst_cpu.pdf") - fig, ax = plt.subplots() - ax.plot(exec_time_aot, memory, "b") - ax.plot(exec_time_aot1, memory1, "r") - ax.set_xlabel("Time (s)") - ax.set_ylabel("Average Memory (B)") - plt.savefig("burst_memory.pdf") - # parse energy - fig, ax = plt.subplots() - ax.plot(exec_time_aot_energy, energy, "b") - ax.plot(exec_time_aot_energy1, energy1, "r") - ax.set_xlabel("Time (s)") - ax.set_ylabel("Average Energy (B)") - plt.savefig("burst_energy.pdf") - if __name__ == "__main__": # fasttier = get_cloud_result() @@ -510,4 +331,4 @@ def plot_time(reu, aot_energy, aot_ps, aot1_energy, aot1_ps): # restore_energy6, # ], # [checkpoint1, restore3, restore4, restore5, restore6], - ) \ No newline at end of file + ) diff --git a/artifact/usecase_optimistic_computing.py b/artifact/usecase_optimistic_computing.py index d01b888..32803cd 100644 --- a/artifact/usecase_optimistic_computing.py +++ b/artifact/usecase_optimistic_computing.py @@ -12,8 +12,8 @@ new_port = 12353 cmd = [ - "bc", # low priority task - "bfs", # high priority task + "bc", # high priority task + "bfs", # low priority task ] folder = [ "gapbs",