Draft example of a histogram.

examples/directives/histogram_c_openacc.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python
+"""This is a simple example for tuning C++ OpenACC code with the kernel tuner"""
+import numpy as np
+
+from kernel_tuner import tune_kernel
+from kernel_tuner.utils.directives import Code, OpenACC, Cxx, process_directives
+
+
+def histogram(vector, hist):
+    for i in range(0, len(vector)):
+        item = vector[i]
+        hist[item] = hist[item] + 1
+    return hist
+
+
+code = """
+#include <stdlib.h>
+
+#define HIST_SIZE 256
+#define VECTOR_SIZE 1000000
+
+int main(void) {
+	int * vector = (int *) malloc(VECTOR_SIZE * sizeof(int));
+	int * hist = (int *) malloc(HIST_SIZE * sizeof(int));
+
+	#pragma tuner start histogram vector(int*:VECTOR_SIZE) hist(int*:HIST_SIZE)
+	#pragma acc parallel num_gangs(ngangs) vector_length(nthreads) reduction(+:hist)
+	for ( int i = 0; i < VECTOR_SIZE; i++ ) {
+	    int item = vector[i];
+		hist[item] = hist[item] + 1;
+	}
+	#pragma tuner stop
+
+	free(vector);
+	free(hist);
+}
+"""
+
+# Extract tunable directive
+app = Code(OpenACC(), Cxx())
+kernel_string, kernel_args = process_directives(app, code)
+
+tune_params = dict()
+tune_params["ngangs"] = [2**i for i in range(1, 11)]
+tune_params["nthreads"] = [32 * i for i in range(1, 33)]
+metrics = dict()
+metrics["GB/s"] = (
+    lambda x: ((2 * 4 * len(kernel_args["histogram"][0])) + (4 * len(kernel_args["histogram"][0])))
+    / (x["time"] / 10**3)
+    / 10**9
+)
+
+kernel_args["histogram"][1] = np.zeros(len(kernel_args["histogram"][1])).astype(np.int32)
+reference_hist = np.zeros_like(kernel_args["histogram"][1]).astype(np.int32)
+reference_hist = histogram(kernel_args["histogram"][0], reference_hist)
+answer = [None, reference_hist]
+
+tune_kernel(
+    "histogram",
+    kernel_string["histogram"],
+    0,
+    kernel_args["vector_add"],
+    tune_params,
+    metrics=metrics,
+    answer=answer,
+    compiler="nvc++",
+    compiler_options=["-fast", "-acc=gpu"],
+)