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benchmark/sgemv_bench.c

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+/*
+ *https://forums.developer.nvidia.com/t/cublas-vs-cblas-sgemv-benchmarking-matrix-vector-operations-on-gpu-and-cpu/14878
+ */
+#include <bench.h>
+
+#include <cblas.h>
+
+int main(int argc, char** argv)
+
+{
+
+double time1, timeg;
+
+int nbIter = 10000;
+
+int m;
+
+int n = 128;
+
+for (int j = 0; j < 16; ++j) {
+
+m = 16 << j;
+
+// n = m;
+
+printf("-------------\nEvaluating %i iterations for a matrix %ix%i\n", nbIter, m, n);
+
+float *mat, *x, *y;
+
+float *data = (float*) malloc(sizeof(float) * m * n);
+
+for (int i = 0; i < m*n; ++i)
+
+  data[i] = ((float)i) / ((float)(m * n));
+
+
+mat = (float*) malloc(m * n * sizeof(float));
+
+x = (float*) malloc(n*sizeof(float));
+
+y = (float*) malloc(m*sizeof(float));
+
+memcpy(mat, data, m * n * sizeof(float));
+
+memcpy(x, data, n * sizeof(float));
+
+memcpy(y, data, m * sizeof(float));
+
+for (int i = 0; i < nbIter; ++i)
+{
+begin();
+
+  cblas_sgemv(CblasColMajor, CblasTrans, n, m, 1, mat, n, x, 1, 1, y, 1);
+
+end();
+timeg += getsec();
+
+}
+printf("CPU Time: %10.8f (secs)\n", timeg/(double)nbIter );
+
+free(mat);
+
+free(x);
+
+free(y);
+
+free(data);
+
+}
+}
+