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thrust_example.cu
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thrust_example.cu
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#include <iostream>
#include <string>
#include <color.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <perf.h>
#include <matrix.h>
#include <utility.h>
#include <blas.h>
#include <device_blas.h>
#include <device_math_ext.h>
typedef Matrix2D<float> mat;
typedef vector<float> vec;
typedef thrust::device_vector<float> dvec;
using namespace std;
int cublas_example();
bool device_blas_testing_examples();
int main (int argc, char* argv[]) {
device_matrix<float> dm(10, 10);
ext::rand(dm);
//blas_testing_examples();
device_blas_testing_examples();
}
#define CHECK_IN_EPS(note) \
printf("\terr = %e "note, err); \
if (err > EPSILON) printf(RED"\t [WARNING] "COLOREND"err (%e) > EPS(%e)\n", err, EPSILON); \
else printf(GREEN"\t [Passed] "COLOREND"\n");
bool device_blas_testing_examples() {
string folder = "./testing/matrix_lib/";
const double EPSILON = 1e-6;
// Settings and Loading
mat hA(folder + "A.mat");
mat hB(folder + "B.mat");
mat hAA(folder + "AA.mat");
mat hAB(folder + "AB.mat");
dmat dA(hA), dB(hB), dAA(hAA), dAB(hAB);
float err;
// Test Case #1: A * B == AB
printf("\nTest Case #1: A * B == AB\n");
err = snrm2(hA * hB - hAB) / hAB.size();
CHECK_IN_EPS("(on host)");
err = snrm2(dA * dB - dAB) / dAB.size();
CHECK_IN_EPS("(on device)");
// Test Case #2: A * 3.14 (device) == A * 3.14 (host)
printf("\nTest Case #2: A * 3.14 (device) == A * 3.14 (host)\n");
err = snrm2((dA * 3.14) - (dmat) (hA * 3.14));
CHECK_IN_EPS();
// Test Case #3: A + AA (device) == A + AA (host)
printf("\nTest Case #3: A + AA (device) == A + AA (host)\n");
err = snrm2((dA + dAA) - (dmat) (hA + hAA));
CHECK_IN_EPS();
// Test Case #4: A - AA (device) == A - AA (host)
printf("\nTest Case #4: A - AA (device) == A - AA (host)\n");
err = snrm2((dA - dAA) - (dmat) (hA - hAA));
CHECK_IN_EPS();
// Test Case #5: A / 3.14 (device) == A / 3.14 (host)
printf("\nTest Case #5: A / 3.14 (device) == A / 3.14 (host)\n");
err = snrm2((dA / 3.14) - (dmat) (hA / 3.14));
CHECK_IN_EPS();
hA *= 5.123; hB /= 3.21; hAB *= 5.123 / 3.21; hAA *= 1.106;
dA *= 5.123; dB /= 3.21; dAB *= 5.123 / 3.21; dAA *= 1.106;
// Test Case #1: A * B == AB
printf("\nTest Case #1: A * B == AB\n");
err = snrm2(hA * hB - hAB) / hAB.size();
CHECK_IN_EPS("(on host)");
err = snrm2(dA * dB - dAB) / dAB.size();
CHECK_IN_EPS("(on device)");
// Test Case #2: A * 3.14 (device) == A * 3.14 (host)
printf("\nTest Case #2: A * 3.14 (device) == A * 3.14 (host)\n");
err = snrm2((dA * 3.14) - (dmat) (hA * 3.14));
CHECK_IN_EPS();
// Test Case #3: A + AA (device) == A + AA (host)
printf("\nTest Case #3: A + AA (device) == A + AA (host)\n");
err = snrm2((dA + dAA) - (dmat) (hA + hAA));
CHECK_IN_EPS();
// Test Case #4: A - AA (device) == A - AA (host)
printf("\nTest Case #4: A - AA (device) == A - AA (host)\n");
err = snrm2((dA - dAA) - (dmat) (hA - hAA));
CHECK_IN_EPS();
// Test Case #5: A / 3.14 (device) == A / 3.14 (host)
printf("\nTest Case #5: A / 3.14 (device) == A / 3.14 (host)\n");
err = snrm2((dA / 3.14) - (dmat) (hA / 3.14));
CHECK_IN_EPS();
// ==========================================
// ===== Matrix - vector multiplication =====
// ==========================================
printf("\nTest Case #6: Matrix - Vector operations\n");
vec hx, hy;
ext::load<float>(hx, "testing/matrix_lib/x.vec");
ext::load<float>(hy, "testing/matrix_lib/y.vec");
dvec dx(hx);
dvec dy(hy);
vec hu1 = hx * hA;
dvec du1 = dx * dA;
err = norm(du1 - (dvec) hu1);
CHECK_IN_EPS();
vec hu2 = hB * hy;
dvec du2 = dB * dy;
err = norm(du2 - (dvec) hu2);
CHECK_IN_EPS();
mat hxy(hx * hy);
dmat dxy(dx * dy);
err = snrm2(dxy - (dmat) hxy);
CHECK_IN_EPS();
vec hz = hx & hx;
dvec dz = dx & dx;
err = norm(dz - (dvec) hz);
CHECK_IN_EPS();
return true;
}
// Host implementation of a simple version of sgemm
/*void simple_sgemm(int n, float alpha, const float *A, const float *B, float beta, float *C) {
int i, j, k;
for (i = 0; i < n; ++i) {
for (j = 0; j < n; ++j) {
float prod = 0;
for (k = 0; k < n; ++k)
prod += A[k * n + i] * B[j * n + k];
C[j * n + i] = alpha * prod + beta * C[j * n + i];
}
}
}*/
/*
int cublas_example() {
cublasStatus_t status;
const size_t N = 275;
float *h_C_ref;
float alpha = 1.0f;
float beta = 0.0f;
int n2 = N * N;
float error_norm;
float ref_norm;
float diff;
cublasHandle_t handle;
// Initialize CUBLAS
printf("simpleCUBLAS test running..\n");
CCE(cublasCreate(&handle));
// Allocate host memory for the matrices
float *h_A = new float[n2 * sizeof(h_A[0])];
float *h_B = new float[n2 * sizeof(h_B[0])];
float *h_C = new float[n2 * sizeof(h_C[0])];
// Fill the matrices with test data
for (int i = 0; i < n2; i++) {
h_A[i] = rand() / (float)RAND_MAX;
h_B[i] = rand() / (float)RAND_MAX;
h_C[i] = rand() / (float)RAND_MAX;
}
// Allocate device memory for the matrices
float *d_A = NULL;
float *d_B = NULL;
float *d_C = NULL;
CCE(cudaMalloc((void **)&d_A, n2 * sizeof(d_A[0])));
CCE(cudaMalloc((void **)&d_B, n2 * sizeof(d_B[0])));
CCE(cudaMalloc((void **)&d_C, n2 * sizeof(d_C[0])));
// Initialize the device matrices with the host matrices
CCE(cublasSetVector(n2, sizeof(h_A[0]), h_A, 1, d_A, 1));
CCE(cublasSetVector(n2, sizeof(h_B[0]), h_B, 1, d_B, 1));
CCE(cublasSetVector(n2, sizeof(h_C[0]), h_C, 1, d_C, 1));
// Performs operation using plain C code
simple_sgemm(N, alpha, h_A, h_B, beta, h_C);
h_C_ref = h_C;
// Performs operation using cublas
status = cublasSgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, N, N, N, &alpha, d_A, N, d_B, N, &beta, d_C, N);
CCE(status);
// Allocate host memory for reading back the result from device memory
h_C = new float[n2 * sizeof(h_C[0])];
// Read the result back
status = cublasGetVector(n2, sizeof(h_C[0]), d_C, 1, h_C, 1);
CCE(status);
// Check result against reference
error_norm = 0;
ref_norm = 0;
for (int i = 0; i < n2; ++i) {
diff = h_C_ref[i] - h_C[i];
error_norm += diff * diff;
ref_norm += h_C_ref[i] * h_C_ref[i];
}
error_norm = (float)sqrt((double)error_norm);
ref_norm = (float)sqrt((double)ref_norm);
if (fabs(ref_norm) < 1e-7) {
fprintf(stderr, "!!!! reference norm is 0\n");
return EXIT_FAILURE;
}
// Memory clean up
delete h_A;
delete h_B;
delete h_C;
free(h_C_ref);
CCE(cudaFree(d_A));
CCE(cudaFree(d_B));
CCE(cudaFree(d_C));
// Shutdown
CCE(cublasDestroy(handle));
return error_norm / ref_norm < 1e-6f ? EXIT_SUCCESS : EXIT_FAILURE;
}
*/