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📄 benchmark_dotprod_fcc.cc

📁 这是用python语言写的一个数字广播的信号处理工具包。利用它
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/* -*- c++ -*- *//* * Copyright 2002 Free Software Foundation, Inc. * * This file is part of GNU Radio * * GNU Radio 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, or (at your option) * any later version. * * GNU Radio 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 GNU Radio; see the file COPYING.  If not, write to * the Free Software Foundation, Inc., 51 Franklin Street, * Boston, MA 02110-1301, USA. */#ifdef HAVE_CONFIG_H#include "config.h"#endif#include <stdio.h>#include <sys/time.h>#ifdef HAVE_SYS_RESOURCE_H#include <sys/resource.h>#endif#include <unistd.h>#include <gr_fir_util.h>#include <gr_fir_fcc.h>#include <random.h>#define TOTAL_TEST_SIZE	       (40 * 1000 * 1000L)#define	NTAPS		                     256#define	BLOCK_SIZE	             (50 * 1000)	/* fits in cache */#if ((TOTAL_TEST_SIZE % BLOCK_SIZE) != 0)#error "TOTAL_TEST_SIZE % BLOCK_SIZE must equal 0"#endiftypedef gr_fir_fcc* (*fir_maker_t)(const std::vector<gr_complex> &taps);typedef gr_fir_fcc  filter_t;static doubletimeval_to_double (const struct timeval *tv){  return (double) tv->tv_sec + (double) tv->tv_usec * 1e-6;}static voidbenchmark (fir_maker_t filter_maker, const char *implementation_name){  int	i;  gr_complex coeffs[NTAPS];  float input[BLOCK_SIZE + NTAPS];  long	n;  gr_complex	result;#ifdef HAVE_SYS_RESOURCE_H  struct rusage	rusage_start;  struct rusage	rusage_stop;#else  double clock_start;  double clock_end;#endif  // setup coefficients and input data  for (i = 0; i < NTAPS; i++)    coeffs[i] = gr_complex(random() - RANDOM_MAX/2, random() - RANDOM_MAX/2);  for (i = 0; i < BLOCK_SIZE + NTAPS; i++)    input[i] = random() - RANDOM_MAX/2;  std::vector<gr_complex> taps (&coeffs[0], &coeffs[NTAPS]);  filter_t *f = filter_maker (taps);    // get starting CPU usage#ifdef HAVE_SYS_RESOURCE_H  if (getrusage (RUSAGE_SELF, &rusage_start) < 0){    perror ("getrusage");    exit (1);  }#else  clock_start = (double) clock() * (1000000. / CLOCKS_PER_SEC);#endif  // do the actual work  for (n = 0; n < TOTAL_TEST_SIZE; n += BLOCK_SIZE){    int	j;    for (j = 0; j < BLOCK_SIZE; j++){      result = f->filter (&input[j]);    }  }  // get ending CPU usage#ifdef HAVE_SYS_RESOURCE_H  if (getrusage (RUSAGE_SELF, &rusage_stop) < 0){    perror ("getrusage");    exit (1);  }  // compute results  double user =    timeval_to_double (&rusage_stop.ru_utime)    - timeval_to_double (&rusage_start.ru_utime);  double sys =    timeval_to_double (&rusage_stop.ru_stime)    - timeval_to_double (&rusage_start.ru_stime);  double total = user + sys;#else  clock_end= (double) clock() * (1000000. / CLOCKS_PER_SEC);  double total = clock_end - clock_start;#endif  double macs = NTAPS * (double) TOTAL_TEST_SIZE;  printf ("%10s: taps: %4d  input: %4g  cpu: %6.3f  taps/sec: %10.4g  \n",	  implementation_name, NTAPS, (double) TOTAL_TEST_SIZE, total, macs / total);  delete f;}static voiddo_all (){  std::vector<gr_fir_fcc_info>		info;  gr_fir_util::get_gr_fir_fcc_info (&info);	// get all known FCC implementations  for (std::vector<gr_fir_fcc_info>::iterator p = info.begin ();       p != info.end () ;       ++p){    benchmark (p->create, p->name);  }}intmain (int argc, char **argv){  do_all ();  return 0;}

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