fastsum_benchomp.c
/*
* Copyright (c) 2002, 2017 Jens Keiner, Stefan Kunis, Daniel Potts
*
* 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 2 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, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include "config.h"
#include "nfft3.h"
#include "infft.h"
#define NREPEAT 5
#if defined(_WIN32) || defined(_WIN64)
const char *CMD_CREATEDATASET = "fastsum_benchomp_createdataset.exe";
const char *CMD_DETAIL_SINGLE = "fastsum_benchomp_detail_single.exe";
const char *CMD_DETAIL_THREADS = "fastsum_benchomp_detail_threads.exe";
#else
const char *CMD_CREATEDATASET = "./fastsum_benchomp_createdataset";
const char *CMD_DETAIL_SINGLE = "./fastsum_benchomp_detail_single";
const char *CMD_DETAIL_THREADS = "./fastsum_benchomp_detail_threads";
#endif
static FILE* file_out_tex = NULL;
int get_nthreads_array(int **arr)
{
int max_threads = NFFT(get_num_threads)();
int alloc_num = 2;
int k;
int ret_number = 0;
int max_threads_pw2 = (max_threads / 2) * 2 == max_threads ? 1 : 0;
if (max_threads <= 5)
{
*arr = (int*) NFFT(malloc)((size_t) (max_threads) * sizeof(int));
for (k = 0; k < max_threads; k++)
*(*arr + k) = k + 1;
return max_threads;
}
for (k = 1; k <= max_threads; k *= 2, alloc_num++)
;
*arr = (int*) NFFT(malloc)((size_t)(alloc_num) * sizeof(int));
for (k = 1; k <= max_threads; k *= 2)
{
if (k != max_threads && 2 * k > max_threads && max_threads_pw2)
{
*(*arr + ret_number) = max_threads / 2;
ret_number++;
}
*(*arr + ret_number) = k;
ret_number++;
if (k != max_threads && 2 * k > max_threads)
{
*(*arr + ret_number) = max_threads;
ret_number++;
break;
}
}
return ret_number;
}
void check_result_value(const int val, const int ok, const char *msg)
{
if (val != ok)
{
fprintf(stderr, "ERROR %s: %d not %d\n", msg, val, ok);
exit(EXIT_FAILURE);
}
}
void run_test_create(int d, int L, int M)
{
char cmd[1025];
snprintf(cmd, 1024,
"%s %d %d %d > fastsum_benchomp_test.data",
CMD_CREATEDATASET, d, L, M);
fprintf(stderr, "%s\n", cmd);
check_result_value(system(cmd), 0, "createdataset");
}
void run_test_init_output()
{
FILE *f = fopen("fastsum_benchomp_test.result", "w");
if (f != NULL)
fclose(f);
}
typedef struct
{
int d;
int L;
int M;
int n;
int m;
int p;
char *kernel_name;
R c;
R eps_I;
R eps_B;
} s_param;
typedef struct
{
R avg;
R min;
R max;
} s_resval;
typedef struct
{
int nthreads;
s_resval resval[16];
} s_result;
typedef struct
{
s_param param;
s_result *results;
int nresults;
} s_testset;
void run_test(s_resval *res, int nrepeat, int n, int m, int p,
char *kernel_name, R c, R eps_I, R eps_B, int nthreads)
{
char cmd[1025];
int r, t;
for (t = 0; t < 16; t++)
{
res[t].avg = K(0.0);
res[t].min = K(1.0) / K(0.0);
res[t].max = K(0.0);
}
if (nthreads < 2)
snprintf(cmd, 1024,
"%s %d %d %d %s " __FR__ " " __FR__ " " __FR__ " < fastsum_benchomp_test.data > fastsum_benchomp_test.out",
CMD_DETAIL_SINGLE, n, m, p, kernel_name, c, eps_I, eps_B);
else
snprintf(cmd, 1024,
"%s %d %d %d %s " __FR__ " " __FR__ " " __FR__ " %d < fastsum_benchomp_test.data > fastsum_benchomp_test.out",
CMD_DETAIL_THREADS, n, m, p, kernel_name, c, eps_I, eps_B, nthreads);
fprintf(stderr, "%s\n", cmd);
check_result_value(system(cmd), 0, cmd);
for (r = 0; r < nrepeat; r++)
{
int retval;
R v[16];
FILE *f;
check_result_value(system(cmd), 0, cmd);
f = fopen("fastsum_benchomp_test.out", "r");
retval = fscanf(f,
"" __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ " " __FR__ "", v,
v + 1, v + 2, v + 3, v + 4, v + 5, v + 6, v + 7, v + 8, v + 9, v + 10,
v + 11, v + 12, v + 13, v + 14, v + 15);
check_result_value(retval, 16, "read fastsum_benchomp_test.out");
fclose(f);
for (t = 0; t < 16; t++)
{
res[t].avg += v[t];
if (res[t].min > v[t])
res[t].min = v[t];
if (res[t].max < v[t])
res[t].max = v[t];
}
}
for (t = 0; t < 16; t++)
res[t].avg /= (R)(nrepeat);
fprintf(stderr, "%d %d: ", nthreads, nrepeat);
for (t = 0; t < 16; t++)
fprintf(stderr, "%.3" __FES__ " %.3" __FES__ " %.3" __FES__ " | ", res[t].avg, res[t].min, res[t].max);
fprintf(stderr, "\n");
}
const char *get_psi_string(int flags)
{
if (flags & PRE_PSI)
return "prepsi";
else if (flags & PRE_ONE_PSI)
return "unknownPSI";
return "nopsi";
}
const char *get_sort_string(int flags)
{
if (flags & NFFT_OMP_BLOCKWISE_ADJOINT)
return "";
if (flags & NFFT_SORT_NODES)
return "sorted";
return "unsorted";
}
const char *get_adjoint_omp_string(int flags)
{
if (flags & NFFT_OMP_BLOCKWISE_ADJOINT)
return "blockwise";
return "";
}
#define MASK_FSUM_D (1U<<0)
#define MASK_FSUM_L (1U<<1)
#define MASK_FSUM_M (1U<<2)
#define MASK_FSUM_MULTIBW (1U<<3)
#define MASK_FSUM_WINM (1U<<4)
#define MASK_FSUM_P (1U<<5)
#define MASK_FSUM_KERNEL (1U<<6)
#define MASK_FSUM_EPSI (1U<<7)
#define MASK_FSUM_EPSB (1U<<8)
unsigned int fastsum_determine_different_parameters(s_testset *testsets,
int ntestsets)
{
int t;
unsigned int mask = 0;
if (ntestsets < 2)
return 0;
for (t = 1; t < ntestsets; t++)
{
if (testsets[t - 1].param.d != testsets[t].param.d)
mask |= MASK_FSUM_D;
if (testsets[t - 1].param.L != testsets[t].param.L)
mask |= MASK_FSUM_L;
if (testsets[t - 1].param.M != testsets[t].param.M)
mask |= MASK_FSUM_M;
if (testsets[t - 1].param.n != testsets[t].param.n)
mask |= MASK_FSUM_MULTIBW;
if (testsets[t - 1].param.m != testsets[t].param.m)
mask |= MASK_FSUM_WINM;
if (testsets[t - 1].param.p != testsets[t].param.p)
mask |= MASK_FSUM_P;
if (strcmp(testsets[t - 1].param.kernel_name, testsets[t].param.kernel_name)
!= 0)
mask |= MASK_FSUM_KERNEL;
if (testsets[t - 1].param.eps_I != testsets[t].param.eps_I)
mask |= MASK_FSUM_EPSI;
if (testsets[t - 1].param.eps_B != testsets[t].param.eps_B)
mask |= MASK_FSUM_EPSB;
}
return mask;
}
void strEscapeUnderscore(char *dst, char *src, int maxlen)
{
int i = 0;
int len;
int offset = 0;
while (src[i] != '\0' && len + offset < maxlen - 1)
{
if (src[i] == '_')
len = snprintf(dst + offset, maxlen - offset, "\\_{}");
else
len = snprintf(dst + offset, maxlen - offset, "%c", src[i]);
offset += len;
i++;
}
}
void fastsum_get_plot_title_minus_indep(char *outstr, int maxlen,
char *hostname, s_param param, unsigned int diff_mask)
{
unsigned int mask = ~diff_mask;
int offset = 0;
int len;
len = snprintf(outstr, maxlen, "%s", hostname);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
if (mask & MASK_FSUM_D)
{
len = snprintf(outstr + offset, maxlen - offset, " %dd fastsum", param.d);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if ((mask & (MASK_FSUM_L | MASK_FSUM_M)) && param.L == param.M)
{
len = snprintf(outstr + offset, maxlen - offset, " L=M=%d", param.L);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
else
{
if (mask & MASK_FSUM_L)
{
len = snprintf(outstr + offset, maxlen - offset, " L=%d", param.L);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if (mask & MASK_FSUM_M)
{
len = snprintf(outstr + offset, maxlen - offset, " M=%d", param.M);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
}
if (mask & MASK_FSUM_MULTIBW)
{
len = snprintf(outstr + offset, maxlen - offset, " n=%d", param.n);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if (mask & MASK_FSUM_WINM)
{
len = snprintf(outstr + offset, maxlen - offset, " m=%d", param.m);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if (mask & MASK_FSUM_P)
{
len = snprintf(outstr + offset, maxlen - offset, " p=%d", param.p);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if (mask & MASK_FSUM_KERNEL)
{
char tmp[maxlen];
strEscapeUnderscore(tmp, param.kernel_name, maxlen);
len = snprintf(outstr + offset, maxlen - offset, " %s", tmp);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if ((mask & (MASK_FSUM_EPSI | MASK_FSUM_EPSB)) && param.eps_I == param.eps_B)
{
len = snprintf(outstr + offset, maxlen - offset,
" $\\varepsilon_\\mathrm{I}$=$\\varepsilon_\\mathrm{B}$=%" __FGS__ "",
param.eps_I);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
else
{
if (mask & MASK_FSUM_EPSI)
{
len = snprintf(outstr + offset, maxlen - offset,
" $\\varepsilon_\\mathrm{I}$=%" __FGS__ "", param.eps_I);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
if (mask & MASK_FSUM_EPSB)
{
len = snprintf(outstr + offset, maxlen - offset,
" $\\varepsilon_\\mathrm{B}$=%" __FGS__ "", param.eps_B);
if (len < 0 || len + offset >= maxlen - 1)
return;
offset += len;
}
}
}
void nfft_adjoint_print_output_histo_DFBRT(FILE *out, s_testset testset)
{
int i, size = testset.nresults;
char hostname[1025];
#ifdef HAVE_GETHOSTNAME
if (gethostname(hostname, 1024) != 0)
#endif
strncpy(hostname, "unnamed", 1024);
fprintf(out, "\\begin{tikzpicture}\n");
fprintf(out, "\\begin{axis}[");
fprintf(out, "width=0.9\\textwidth, height=0.6\\textwidth, ");
fprintf(out, "symbolic x coords={");
for (i = 0; i < size; i++)
if (i > 0)
fprintf(out, ",%d", testset.results[i].nthreads);
else
fprintf(out, "%d", testset.results[i].nthreads);
fprintf(out,
"}, x tick label style={ /pgf/number format/1000 sep=}, xlabel=Number of threads, ylabel=Time in s, xtick=data, legend style={legend columns=-1}, ybar, bar width=7pt, ymajorgrids=true, yminorgrids=true, minor y tick num=1, ");
fprintf(out,
" title={%s %dd $\\textrm{NFFT}^\\top$ N=%d $\\sigma$=2 M=%d m=%d prepsi sorted}",
hostname, testset.param.d, testset.param.n, testset.param.M,
testset.param.m);
fprintf(out, " ]\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[10].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[11].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[12].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[1].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[4].avg + testset.results[i].resval[1].avg);
fprintf(out, "};\n");
fprintf(out,
"\\legend{D,$\\textrm{F}^\\top$,$\\textrm{B}^\\top$,prepsi,total}\n");
fprintf(out, "\\end{axis}\n");
fprintf(out, "\\end{tikzpicture}\n");
fprintf(out, "\n\n");
fflush(out);
}
void nfft_trafo_print_output_histo_DFBRT(FILE *out, s_testset testset)
{
int i, size = testset.nresults;
char hostname[1025];
#ifdef HAVE_GETHOSTNAME
if (gethostname(hostname, 1024) != 0)
#endif
strncpy(hostname, "unnamed", 1024);
fprintf(out, "\\begin{tikzpicture}\n");
fprintf(out, "\\begin{axis}[");
fprintf(out, "width=0.9\\textwidth, height=0.6\\textwidth, ");
fprintf(out, "symbolic x coords={");
for (i = 0; i < size; i++)
if (i > 0)
fprintf(out, ",%d", testset.results[i].nthreads);
else
fprintf(out, "%d", testset.results[i].nthreads);
fprintf(out,
"}, x tick label style={ /pgf/number format/1000 sep=}, xlabel=Number of threads, ylabel=Time in s, xtick=data, legend style={legend columns=-1}, ybar, bar width=7pt, ymajorgrids=true, yminorgrids=true, minor y tick num=1, ");
fprintf(out,
" title={%s %dd $\\textrm{NFFT}$ N=%d $\\sigma$=2 M=%d m=%d prepsi sorted}",
hostname, testset.param.d, testset.param.n, testset.param.M,
testset.param.m);
fprintf(out, " ]\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[13].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[14].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[15].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[2].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[6].avg + testset.results[i].resval[2].avg);
fprintf(out, "};\n");
fprintf(out, "\\legend{D,F,B,prepsi,total}\n");
fprintf(out, "\\end{axis}\n");
fprintf(out, "\\end{tikzpicture}\n");
fprintf(out, "\n\n");
fflush(out);
}
void fastsum_print_output_histo_PreRfNfT(FILE *out, s_testset testset)
{
int i, size = testset.nresults;
char hostname[1025];
char plottitle[1025];
#ifdef HAVE_GETHOSTNAME
if (gethostname(hostname, 1024) != 0)
#endif
strncpy(hostname, "unnamed", 1024);
fastsum_get_plot_title_minus_indep(plottitle, 1024, hostname, testset.param,
0);
fprintf(out, "\\begin{tikzpicture}\n");
fprintf(out, "\\begin{axis}[");
fprintf(out, "width=0.9\\textwidth, height=0.6\\textwidth, ");
fprintf(out, "symbolic x coords={");
for (i = 0; i < size; i++)
if (i > 0)
fprintf(out, ",%d", testset.results[i].nthreads);
else
fprintf(out, "%d", testset.results[i].nthreads);
fprintf(out,
"}, x tick label style={ /pgf/number format/1000 sep=}, xlabel=Number of threads, ylabel=Time in s, xtick=data, legend style={legend columns=1}, ybar, bar width=7pt, ymajorgrids=true, yminorgrids=true, minor y tick num=1, ");
fprintf(out, " title={%s}", plottitle);
fprintf(out, " ]\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[1].avg + testset.results[i].resval[2].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[3].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[4].avg + testset.results[i].resval[5].avg
+ testset.results[i].resval[6].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[7].avg);
fprintf(out, "};\n");
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < size; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
testset.results[i].resval[9].avg - testset.results[i].resval[0].avg);
fprintf(out, "};\n");
fprintf(out,
"\\legend{prepsi (step 1b),init nearfield (step 1c),far field (steps 2a-c),nearfield (step 2d),total $-$ step 1a}\n");
fprintf(out, "\\end{axis}\n");
fprintf(out, "\\end{tikzpicture}\n");
fprintf(out, "\n\n");
fflush(out);
}
void fastsum_print_output_speedup_total_minus_indep(FILE *out,
s_testset *testsets, int ntestsets)
{
int i, t;
char hostname[1025];
char plottitle[1025];
unsigned int diff_mask = fastsum_determine_different_parameters(testsets,
ntestsets);
#ifdef HAVE_GETHOSTNAME
if (gethostname(hostname, 1024) != 0)
#endif
strncpy(hostname, "unnamed", 1024);
fastsum_get_plot_title_minus_indep(plottitle, 1024, hostname,
testsets[0].param, diff_mask | MASK_FSUM_WINM);
fprintf(out, "\\begin{tikzpicture}\n");
fprintf(out, "\\begin{axis}[");
fprintf(out,
"width=0.9\\textwidth, height=0.6\\textwidth, x tick label style={ /pgf/number format/1000 sep=}, xlabel=Number of threads, ylabel=Speedup, xtick=data, legend style={ legend pos = north west, legend columns=1}, ymajorgrids=true, yminorgrids=true, minor y tick num=4, ");
fprintf(out, " title={%s}", plottitle);
fprintf(out, " ]\n");
for (t = 0; t < ntestsets; t++)
{
s_testset testset = testsets[t];
R tref = K(0.0);
for (i = 0; i < testset.nresults; i++)
if (testset.results[i].nthreads == 1)
tref = testset.results[i].resval[9].avg
- testset.results[i].resval[0].avg;
fprintf(out, "\\addplot coordinates {");
for (i = 0; i < testset.nresults; i++)
fprintf(out, "(%d, %.6" __FES__ ") ", testset.results[i].nthreads,
tref
/ (testset.results[i].resval[9].avg
- testset.results[i].resval[0].avg));
fprintf(out, "};\n");
for (i = 0; i < testset.nresults; i++)
{
fprintf(stderr, "%d:%.3" __FIS__ " ", testset.results[i].nthreads,
tref
/ (testset.results[i].resval[9].avg
- testset.results[i].resval[0].avg));
}
fprintf(stderr, "\n\n");
}
fprintf(out, "\\legend{{");
for (t = 0; t < ntestsets; t++)
{
char title[256];
if (t > 0)
fprintf(out, "},{");
fastsum_get_plot_title_minus_indep(title, 255, "", testsets[t].param,
~(diff_mask | MASK_FSUM_WINM));
fprintf(out, "%s", title);
}
fprintf(out, "}}\n");
fprintf(out, "\\end{axis}\n");
fprintf(out, "\\end{tikzpicture}\n");
fprintf(out, "\n\n");
fflush(out);
}
void run_testset(s_testset *testset, int d, int L, int M, int n, int m, int p,
char *kernel_name, R c, R eps_I, R eps_B,
int *nthreads_array, int n_threads_array_size)
{
int i;
testset->param.d = d;
testset->param.L = L;
testset->param.M = M;
testset->param.n = n;
testset->param.m = m;
testset->param.p = p;
testset->param.kernel_name = kernel_name;
testset->param.c = c;
testset->param.eps_I = eps_I;
testset->param.eps_B = eps_B;
testset->results = (s_result*) NFFT(malloc)(
(size_t)(n_threads_array_size) * sizeof(s_result));
testset->nresults = n_threads_array_size;
run_test_create(testset->param.d, testset->param.L, testset->param.M);
for (i = 0; i < n_threads_array_size; i++)
{
testset->results[i].nthreads = nthreads_array[i];
run_test(testset->results[i].resval, NREPEAT, testset->param.n,
testset->param.m, testset->param.p, testset->param.kernel_name,
testset->param.c, testset->param.eps_I, testset->param.eps_B,
testset->results[i].nthreads);
}
}
void test1(int *nthreads_array, int n_threads_array_size)
{
s_testset testsets[1];
#if defined MEASURE_TIME && defined MEASURE_TIME_FFTW
run_testset(&testsets[0], 3, 100000, 100000, 128, 4, 7, "one_over_x", K(0.0), K(0.03125), K(0.03125), nthreads_array, n_threads_array_size);
fastsum_print_output_speedup_total_minus_indep(file_out_tex, testsets, 1);
fastsum_print_output_histo_PreRfNfT(file_out_tex, testsets[0]);
nfft_adjoint_print_output_histo_DFBRT(file_out_tex, testsets[0]);
nfft_trafo_print_output_histo_DFBRT(file_out_tex, testsets[0]);
#endif
}
int main(int argc, char** argv)
{
int *nthreads_array;
int n_threads_array_size = get_nthreads_array(&nthreads_array);
int k;
#if !(defined MEASURE_TIME && defined MEASURE_TIME_FFTW)
fprintf(stderr, "WARNING: Detailed time measurements are not activated.\n");
fprintf(stderr, "Please re-run the configure script with options\n");
fprintf(stderr,
"--enable-measure-time --enable-measure-time-fftw --enable-openmp\n");
fprintf(stderr, "and run \"make clean all\"\n\n");
#endif
for (k = 0; k < n_threads_array_size; k++)
fprintf(stderr, "%d ", nthreads_array[k]);
fprintf(stderr, "\n");
file_out_tex = fopen("fastsum_benchomp_results_plots.tex", "w");
test1(nthreads_array, n_threads_array_size);
fclose(file_out_tex);
return EXIT_SUCCESS;
}
s_param
Definition: nfft_benchomp.c:120
s_testset
Definition: nfft_benchomp.c:144
s_result
Definition: nfft_benchomp.c:138
s_resval
Definition: nfft_benchomp.c:131
PRE_PSI
#define PRE_PSI
Definition: nfft3.h:197
nfft3.h
Header file for the nfft3 library.
PRE_ONE_PSI
#define PRE_ONE_PSI
Definition: nfft3.h:206