/* * Copyright (C) 2015 - Naudit High Performance Computing and Networking * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 3 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; If not, see . */ #include #include #include #include "stable_api.h" #include "benchmarking.h" #include "opencl_integ.h" #define XI_TH 0.01 // #define AROUND_XI int main(int argc, char **argv) { double alfa = 1.2; double beta = 0.1; int param = 0; double sigma = 1.0, mu = 0.0; double min_x_range; double max_x_range; double xi; int num_samples = 8000; double *x; double *pdf, *cpu_pdf; double *errs, *cpu_errs; double x_step_size; StableDist* dist; double abserr = 0, relerr = 0, cpu_err = 0, gpu_err = 0; double abserr_v = 0, relerr_v = 0, cpu_err_v = 0, gpu_err_v = 0; int i; if (argc == 3) { alfa = strtod(argv[1], NULL); beta = strtod(argv[2], NULL); } xi = - beta * tan(alfa * M_PI_2); stable_set_XXI_TH(1.0 * XI_TH); #ifdef AROUND_XI min_x_range = xi - XI_TH; max_x_range = xi + XI_TH; #else min_x_range = -3; max_x_range = 3; #endif x_step_size = ((double)(max_x_range - min_x_range)) / (double) num_samples; dist = stable_create(alfa, beta, sigma, mu, param); x = calloc(num_samples, sizeof(double)); pdf = calloc(num_samples, sizeof(double)); cpu_pdf = calloc(num_samples, sizeof(double)); errs = calloc(num_samples, sizeof(double)); cpu_errs = calloc(num_samples, sizeof(double)); if (!dist) { fprintf(stderr, "StableDist creation failure. Aborting.\n"); return 1; } for (i = 0; i < num_samples; i++) x[i] = min_x_range + x_step_size * i; if (stable_activate_gpu(dist)) { fprintf(stderr, "Couldn't initialize GPU.\n"); return 1; } stable_pdf(dist, x, num_samples, cpu_pdf, cpu_errs); stable_pdf_gpu(dist, x, num_samples, pdf, errs); for (i = 0; i < num_samples; i++) { abserr += fabs(pdf[i] - cpu_pdf[i]); abserr_v += (fabs(pdf[i] - cpu_pdf[i])) * (fabs(pdf[i] - cpu_pdf[i])); relerr += fabs(pdf[i] - cpu_pdf[i]) / cpu_pdf[i]; relerr_v += (fabs(pdf[i] - cpu_pdf[i]) / cpu_pdf[i]) * (fabs(pdf[i] - cpu_pdf[i]) / cpu_pdf[i]); cpu_err += cpu_errs[i]; cpu_err_v += (cpu_errs[i]) * (cpu_errs[i]); gpu_err += errs[i]; gpu_err_v += (errs[i]) * (errs[i]); printf("%lf %lf %lf %lf %lf\n", x[i], pdf[i], cpu_pdf[i], errs[i], cpu_errs[i]); } abserr /= num_samples; abserr_v = sqrt((abserr_v / num_samples - abserr * abserr) * num_samples / (num_samples - 1)); relerr /= num_samples; relerr_v = sqrt((relerr_v / num_samples - relerr * relerr) * num_samples / (num_samples - 1)); cpu_err /= num_samples; cpu_err_v = sqrt((cpu_err_v / num_samples - cpu_err * cpu_err) * num_samples / (num_samples - 1)); gpu_err /= num_samples; gpu_err_v = sqrt((gpu_err_v / num_samples - gpu_err * gpu_err) * num_samples / (num_samples - 1)); fprintf(stderr, "Average absolute error: %g ± %g\n", abserr, abserr_v); fprintf(stderr, "Average relative error: %g ± %g\n", relerr, relerr_v); fprintf(stderr, "Average cpu error: %g ± %g\n", cpu_err, cpu_err_v); fprintf(stderr, "Average gpu error: %g ± %g\n", gpu_err, gpu_err_v); fprintf(stderr, "ξ is %g\n", xi); stable_free(dist); return 0; }