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StreamBenchmark工具,使用共享内存修改stream.c

慕容晔
2023-12-01
/*-----------------------------------------------------------------------*/
/* Program: STREAM                                                       */
/* Revision: $Id: stream.c,v 5.10 2013/01/17 16:01:06 mccalpin Exp mccalpin $ */
/* Original code developed by John D. McCalpin                           */
/* Programmers: John D. McCalpin                                         */
/*              Joe R. Zagar                                             */
/*                                                                       */
/* This program measures memory transfer rates in MB/s for simple        */
/* computational kernels coded in C.                                     */
/*-----------------------------------------------------------------------*/
/* Copyright 1991-2013: John D. McCalpin                                 */
/*-----------------------------------------------------------------------*/
/* License:                                                              */
/*  1. You are free to use this program and/or to redistribute           */
/*     this program.                                                     */
/*  2. You are free to modify this program for your own use,             */
/*     including commercial use, subject to the publication              */
/*     restrictions in item 3.                                           */
/*  3. You are free to publish results obtained from running this        */
/*     program, or from works that you derive from this program,         */
/*     with the following limitations:                                   */
/*     3a. In order to be referred to as "STREAM benchmark results",     */
/*         published results must be in conformance to the STREAM        */
/*         Run Rules, (briefly reviewed below) published at              */
/*         http://www.cs.virginia.edu/stream/ref.html                    */
/*         and incorporated herein by reference.                         */
/*         As the copyright holder, John McCalpin retains the            */
/*         right to determine conformity with the Run Rules.             */
/*     3b. Results based on modified source code or on runs not in       */
/*         accordance with the STREAM Run Rules must be clearly          */
/*         labelled whenever they are published.  Examples of            */
/*         proper labelling include:                                     */
/*           "tuned STREAM benchmark results"                            */
/*           "based on a variant of the STREAM benchmark code"           */
/*         Other comparable, clear, and reasonable labelling is          */
/*         acceptable.                                                   */
/*     3c. Submission of results to the STREAM benchmark web site        */
/*         is encouraged, but not required.                              */
/*  4. Use of this program or creation of derived works based on this    */
/*     program constitutes acceptance of these licensing restrictions.   */
/*  5. Absolutely no warranty is expressed or implied.                   */
/*-----------------------------------------------------------------------*/
# include <stdio.h>
# include <unistd.h>
# include <math.h>
# include <float.h>
# include <limits.h>
# include <sys/time.h>
# include <sys/shm.h>
/*-----------------------------------------------------------------------
 * INSTRUCTIONS:
 *
 * 1) STREAM requires different amounts of memory to run on different
 *           systems, depending on both the system cache size(s) and the
 *           granularity of the system timer.
 *     You should adjust the value of 'STREAM_ARRAY_SIZE' (below)
 *           to meet *both* of the following criteria:
 *       (a) Each array must be at least 4 times the size of the
 *           available cache memory. I don't worry about the difference
 *           between 10^6 and 2^20, so in practice the minimum array size
 *           is about 3.8 times the cache size.
 *           Example 1: One Xeon E3 with 8 MB L3 cache
 *               STREAM_ARRAY_SIZE should be >= 4 million, giving
 *               an array size of 30.5 MB and a total memory requirement
 *               of 91.5 MB.  
 *           Example 2: Two Xeon E5's with 20 MB L3 cache each (using OpenMP)
 *               STREAM_ARRAY_SIZE should be >= 20 million, giving
 *               an array size of 153 MB and a total memory requirement
 *               of 458 MB.  
 *       (b) The size should be large enough so that the 'timing calibration'
 *           output by the program is at least 20 clock-ticks.  
 *           Example: most versions of Windows have a 10 millisecond timer
 *               granularity.  20 "ticks" at 10 ms/tic is 200 milliseconds.
 *               If the chip is capable of 10 GB/s, it moves 2 GB in 200 msec.
 *               This means the each array must be at least 1 GB, or 128M elements.
 *
 *      Version 5.10 increases the default array size from 2 million
 *          elements to 10 million elements in response to the increasing
 *          size of L3 caches.  The new default size is large enough for caches
 *          up to 20 MB. 
 *      Version 5.10 changes the loop index variables from "register int"
 *          to "ssize_t", which allows array indices >2^32 (4 billion)
 *          on properly configured 64-bit systems.  Additional compiler options
 *          (such as "-mcmodel=medium") may be required for large memory runs.
 *
 *      Array size can be set at compile time without modifying the source
 *          code for the (many) compilers that support preprocessor definitions
 *          on the compile line.  E.g.,
 *                gcc -O -DSTREAM_ARRAY_SIZE=100000000 stream.c -o stream.100M
 *          will override the default size of 10M with a new size of 100M elements
 *          per array.
 */
#ifndef STREAM_ARRAY_SIZE
#   define STREAM_ARRAY_SIZE 45000000
#endif


/*  2) STREAM runs each kernel "NTIMES" times and reports the *best* result
 *         for any iteration after the first, therefore the minimum value
 *         for NTIMES is 2.
 *      There are no rules on maximum allowable values for NTIMES, but
 *         values larger than the default are unlikely to noticeably
 *         increase the reported performance.
 *      NTIMES can also be set on the compile line without changing the source
 *         code using, for example, "-DNTIMES=7".
 */
#ifdef NTIMES
#if NTIMES<=1
#   define NTIMES 10
#endif
#endif
#ifndef NTIMES
#   define NTIMES 10
#endif


/*  Users are allowed to modify the "OFFSET" variable, which *may* change the
 *         relative alignment of the arrays (though compilers may change the 
 *         effective offset by making the arrays non-contiguous on some systems). 
 *      Use of non-zero values for OFFSET can be especially helpful if the
 *         STREAM_ARRAY_SIZE is set to a value close to a large power of 2.
 *      OFFSET can also be set on the compile line without changing the source
 *         code using, for example, "-DOFFSET=56".
 */
#ifndef OFFSET
#   define OFFSET 0
#endif


/*
 * 3) Compile the code with optimization.  Many compilers generate
 *       unreasonably bad code before the optimizer tightens things up.  
 *     If the results are unreasonably good, on the other hand, the
 *       optimizer might be too smart for me!
 *
 *     For a simple single-core version, try compiling with:
 *            cc -O stream.c -o stream
 *     This is known to work on many, many systems....
 *
 *     To use multiple cores, you need to tell the compiler to obey the OpenMP
 *       directives in the code.  This varies by compiler, but a common example is
 *            gcc -O -fopenmp stream.c -o stream_omp
 *       The environment variable OMP_NUM_THREADS allows runtime control of the 
 *         number of threads/cores used when the resulting "stream_omp" program
 *         is executed.
 *
 *     To run with single-precision variables and arithmetic, simply add
 *         -DSTREAM_TYPE=float
 *     to the compile line.
 *     Note that this changes the minimum array sizes required --- see (1) above.
 *
 *     The preprocessor directive "TUNED" does not do much -- it simply causes the 
 *       code to call separate functions to execute each kernel.  Trivial versions
 *       of these functions are provided, but they are *not* tuned -- they just 
 *       provide predefined interfaces to be replaced with tuned code.
 *
 *
 * 4) Optional: Mail the results to mccalpin@cs.virginia.edu
 *   Be sure to include info that will help me understand:
 * a) the computer hardware configuration (e.g., processor model, memory type)
 * b) the compiler name/version and compilation flags
 *      c) any run-time information (such as OMP_NUM_THREADS)
 * d) all of the output from the test case.
 *
 * Thanks!
 *
 *-----------------------------------------------------------------------*/


# define HLINE "-------------------------------------------------------------\n"


# ifndef MIN
# define MIN(x,y) ((x)<(y)?(x):(y))
# endif
# ifndef MAX
# define MAX(x,y) ((x)>(y)?(x):(y))
# endif


#ifndef STREAM_TYPE
#define STREAM_TYPE double
#endif


//static STREAM_TYPE a[STREAM_ARRAY_SIZE+OFFSET],
// b[STREAM_ARRAY_SIZE+OFFSET],
// c[STREAM_ARRAY_SIZE+OFFSET];


static double avgtime[4] = {0}, maxtime[4] = {0},
mintime[4] = {FLT_MAX,FLT_MAX,FLT_MAX,FLT_MAX};


static char *label[4] = {"Copy:      ", "Scale:     ",
    "Add:       ", "Triad:     "};


static double bytes[4] = {
    2 * sizeof(STREAM_TYPE) * STREAM_ARRAY_SIZE,
    2 * sizeof(STREAM_TYPE) * STREAM_ARRAY_SIZE,
    3 * sizeof(STREAM_TYPE) * STREAM_ARRAY_SIZE,
    3 * sizeof(STREAM_TYPE) * STREAM_ARRAY_SIZE
    };


extern double mysecond();
extern void checkSTREAMresults();
#ifdef TUNED
extern void tuned_STREAM_Copy();
extern void tuned_STREAM_Scale(STREAM_TYPE scalar);
extern void tuned_STREAM_Add();
extern void tuned_STREAM_Triad(STREAM_TYPE scalar);
#endif
#ifdef _OPENMP
extern int omp_get_num_threads();
#endif
/***  share memory setting ***/
#define SHM_SIZE (sizeof(STREAM_TYPE) * STREAM_ARRAY_SIZE * 3)


struct shm_data{
STREAM_TYPE a[STREAM_ARRAY_SIZE+OFFSET],
b[STREAM_ARRAY_SIZE+OFFSET],
c[STREAM_ARRAY_SIZE+OFFSET];
};


int shmid;
struct shm_data *shmptr;


/*****************************/
int
main()
    {


    int quantum, checktick();
    int BytesPerWord;
    int k;
    ssize_t j;
    STREAM_TYPE scalar;
    double t, times[4][NTIMES];
/* --- shmare memory setting --- */


shmid = shmget(IPC_PRIVATE, SHM_SIZE, 0600);
if(shmid < 0)
exit(EXIT_FIALURE);
shmptr = shmat(shmid, 0, 0);
if(shmptr == (void)-1)
exit(EXIT_FIALURE);



    /* --- SETUP --- determine precision and check timing --- */


    printf(HLINE);
    printf("STREAM version $Revision: 5.10 $\n");
    printf(HLINE);
    BytesPerWord = sizeof(STREAM_TYPE);
    printf("This system uses %d bytes per array element.\n",
BytesPerWord);


    printf(HLINE);
#ifdef N
    printf("*****  WARNING: ******\n");
    printf("      It appears that you set the preprocessor variable N when compiling this code.\n");
    printf("      This version of the code uses the preprocesor variable STREAM_ARRAY_SIZE to control the array size\n");
    printf("      Reverting to default value of STREAM_ARRAY_SIZE=%llu\n",(unsigned long long) STREAM_ARRAY_SIZE);
    printf("*****  WARNING: ******\n");
#endif


    printf("Array size = %llu (elements), Offset = %d (elements)\n" , (unsigned long long) STREAM_ARRAY_SIZE, OFFSET);
    printf("Memory per array = %.1f MiB (= %.1f GiB).\n", 
BytesPerWord * ( (double) STREAM_ARRAY_SIZE / 1024.0/1024.0),
BytesPerWord * ( (double) STREAM_ARRAY_SIZE / 1024.0/1024.0/1024.0));
    printf("Total memory required = %.1f MiB (= %.1f GiB).\n",
(3.0 * BytesPerWord) * ( (double) STREAM_ARRAY_SIZE / 1024.0/1024.),
(3.0 * BytesPerWord) * ( (double) STREAM_ARRAY_SIZE / 1024.0/1024./1024.));
    printf("Each kernel will be executed %d times.\n", NTIMES);
    printf(" The *best* time for each kernel (excluding the first iteration)\n"); 
    printf(" will be used to compute the reported bandwidth.\n");


#ifdef _OPENMP
    printf(HLINE);
#pragma omp parallel 
    {
#pragma omp master
{
   k = omp_get_num_threads();
   printf ("Number of Threads requested = %i\n",k);
        }
    }
#endif


#ifdef _OPENMP
k = 0;
#pragma omp parallel
#pragma omp atomic 
k++;
    printf ("Number of Threads counted = %i\n",k);
#endif


    /* Get initial value for system clock. */
#pragma omp parallel for
    for (j=0; j<STREAM_ARRAY_SIZE; j++) {
   shmptr->a[j] = 1.0;
   shmptr->b[j] = 2.0;
   shmptr->c[j] = 0.0;
}


    printf(HLINE);


    if  ( (quantum = checktick()) >= 1) 
printf("Your clock granularity/precision appears to be "
   "%d microseconds.\n", quantum);
    else {
printf("Your clock granularity appears to be "
   "less than one microsecond.\n");
quantum = 1;
    }


    t = mysecond();
#pragma omp parallel for
    for (j = 0; j < STREAM_ARRAY_SIZE; j++)
shmptr->a[j] = 2.0E0 * shmptr->a[j];
    t = 1.0E6 * (mysecond() - t);


    printf("Each test below will take on the order"
" of %d microseconds.\n", (int) t  );
    printf("   (= %d clock ticks)\n", (int) (t/quantum) );
    printf("Increase the size of the arrays if this shows that\n");
    printf("you are not getting at least 20 clock ticks per test.\n");


    printf(HLINE);


    printf("WARNING -- The above is only a rough guideline.\n");
    printf("For best results, please be sure you know the\n");
    printf("precision of your system timer.\n");
    printf(HLINE);
    
    /* --- MAIN LOOP --- repeat test cases NTIMES times --- */
/* 
计算一个操作(一个数组的复制,相加或者相乘等)所花时间t。
bw = 读写的总字节数 / t
*/
    scalar = 3.0;
    for (k=0; k<NTIMES; k++) //计算每个操作的耗时,迭代NTIMES次
{
times[0][k] = mysecond();
#ifdef TUNED
        tuned_STREAM_Copy();
#else
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->c[j] = shmptr->a[j];
#endif
times[0][k] = mysecond() - times[0][k];

times[1][k] = mysecond();
#ifdef TUNED
        tuned_STREAM_Scale(scalar);
#else
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->b[j] = scalar*shmptr->c[j];
#endif
times[1][k] = mysecond() - times[1][k];

times[2][k] = mysecond();
#ifdef TUNED
        tuned_STREAM_Add();
#else
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->c[j] = shmptr->a[j]+shmptr->shmptr->b[j];
#endif
times[2][k] = mysecond() - times[2][k];

times[3][k] = mysecond();
#ifdef TUNED
        tuned_STREAM_Triad(scalar);
#else
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->a[j] = shmptr->b[j]+scalar*shmptr->c[j];
#endif
times[3][k] = mysecond() - times[3][k];
}


    /* --- SUMMARY --- */


    for (k=1; k<NTIMES; k++) /* note -- skip first iteration */
{
for (j=0; j<4; j++)
   {
   avgtime[j] = avgtime[j] + times[j][k];
   mintime[j] = MIN(mintime[j], times[j][k]);
   maxtime[j] = MAX(maxtime[j], times[j][k]);
   }
}
    
    printf("Function    Best Rate MB/s  Avg time     Min time     Max time\n");
    for (j=0; j<4; j++) {
avgtime[j] = avgtime[j]/(double)(NTIMES-1);


printf("%s%12.1f  %11.6f  %11.6f  %11.6f\n", label[j],
      1.0E-06 * bytes[j]/mintime[j], // 单位MB/s
      avgtime[j],
      mintime[j],
      maxtime[j]);
    }
    printf(HLINE);


    /* --- Check Results --- */
    checkSTREAMresults();
    printf(HLINE);


    return 0;
}


# define M 20


int
checktick() // 最小时间间隔
{
    int i, minDelta, Delta;
    double t1, t2, timesfound[M];


/*  Collect a sequence of M unique time values from the system. */


    for (i = 0; i < M; i++) {
t1 = mysecond();
while( ((t2=mysecond()) - t1) < 1.0E-6 ) // 为啥呢?
   ;
timesfound[i] = t1 = t2;
}


/*
 * Determine the minimum difference between these M values.
 * This result will be our estimate (in microseconds) for the
 * clock granularity.
 */


    minDelta = 1000000;
    for (i = 1; i < M; i++) {
Delta = (int)( 1.0E6 * (timesfound[i]-timesfound[i-1]));
minDelta = MIN(minDelta, MAX(Delta,0));
}


   return(minDelta);
}






/* A gettimeofday routine to give access to the wall
   clock timer on most UNIX-like systems.  */


#include <sys/time.h>


double mysecond()// 获取当前时间 精确到微妙
{
        struct timeval tp;
        struct timezone tzp;
        int i;


        i = gettimeofday(&tp,&tzp);
        return ( (double) tp.tv_sec + (double) tp.tv_usec * 1.e-6 );
}


#ifndef abs
#define abs(a) ((a) >= 0 ? (a) : -(a))
#endif
void checkSTREAMresults () // 判断误差
{
STREAM_TYPE aj,bj,cj,scalar;
STREAM_TYPE aSumErr,bSumErr,cSumErr;
STREAM_TYPE aAvgErr,bAvgErr,cAvgErr;
double epsilon;
ssize_t j;
int k,ierr,err;


    /* reproduce initialization */
aj = 1.0;
bj = 2.0;
cj = 0.0;
    /* a[] is modified during timing check */
aj = 2.0E0 * aj;
    /* now execute timing loop */
scalar = 3.0;
for (k=0; k<NTIMES; k++)
        {
            cj = aj;
            bj = scalar*cj;
            cj = aj+bj;
            aj = bj+scalar*cj;
        }


    /* accumulate deltas between observed and expected results */
aSumErr = 0.0;
bSumErr = 0.0;
cSumErr = 0.0;
for (j=0; j<STREAM_ARRAY_SIZE; j++) {
aSumErr += abs(shmptr->a[j] - aj);
bSumErr += abs(shmptr->b[j] - bj);
cSumErr += abs(shmptr->c[j] - cj);
// if (j == 417) printf("Index 417: c[j]: %f, cj: %f\n",c[j],cj); // MCCALPIN
}
aAvgErr = aSumErr / (STREAM_TYPE) STREAM_ARRAY_SIZE; // 两种计算方式的误差均值
bAvgErr = bSumErr / (STREAM_TYPE) STREAM_ARRAY_SIZE;
cAvgErr = cSumErr / (STREAM_TYPE) STREAM_ARRAY_SIZE;


if (sizeof(STREAM_TYPE) == 4) {
epsilon = 1.e-6;
}
else if (sizeof(STREAM_TYPE) == 8) {
epsilon = 1.e-13;
}
else {
printf("WEIRD: sizeof(STREAM_TYPE) = %lu\n",sizeof(STREAM_TYPE));
epsilon = 1.e-6;
}


err = 0;
if (abs(aAvgErr/aj) > epsilon) {
err++;
printf ("Failed Validation on array a[], AvgRelAbsErr > epsilon (%e)\n",epsilon);
printf ("     Expected Value: %e, AvgAbsErr: %e, AvgRelAbsErr: %e\n",aj,aAvgErr,abs(aAvgErr)/aj);
ierr = 0;
for (j=0; j<STREAM_ARRAY_SIZE; j++) {
if (abs(shmptr->a[j]/aj-1.0) > epsilon) {
ierr++; // 计算误差过大的数据的个数
#ifdef VERBOSE
if (ierr < 10) {
printf("         array a: index: %ld, expected: %e, observed: %e, relative error: %e\n",
j,aj,shmptr->a[j],abs((aj-shmptr->a[j])/aAvgErr));
}
#endif
}
}
printf("     For array a[], %d errors were found.\n",ierr);
}
if (abs(bAvgErr/bj) > epsilon) {
err++;
printf ("Failed Validation on array b[], AvgRelAbsErr > epsilon (%e)\n",epsilon);
printf ("     Expected Value: %e, AvgAbsErr: %e, AvgRelAbsErr: %e\n",bj,bAvgErr,abs(bAvgErr)/bj);
printf ("     AvgRelAbsErr > Epsilon (%e)\n",epsilon);
ierr = 0;
for (j=0; j<STREAM_ARRAY_SIZE; j++) {
if (abs(shmptr->b[j]/bj-1.0) > epsilon) {
ierr++;
#ifdef VERBOSE
if (ierr < 10) {
printf("         array b: index: %ld, expected: %e, observed: %e, relative error: %e\n",
j,bj,shmptr->b[j],abs((bj-shmptr->b[j])/bAvgErr));
}
#endif
}
}
printf("     For array b[], %d errors were found.\n",ierr);
}
if (abs(cAvgErr/cj) > epsilon) {
err++;
printf ("Failed Validation on array c[], AvgRelAbsErr > epsilon (%e)\n",epsilon);
printf ("     Expected Value: %e, AvgAbsErr: %e, AvgRelAbsErr: %e\n",cj,cAvgErr,abs(cAvgErr)/cj);
printf ("     AvgRelAbsErr > Epsilon (%e)\n",epsilon);
ierr = 0;
for (j=0; j<STREAM_ARRAY_SIZE; j++) {
if (abs(shmptr->c[j]/cj-1.0) > epsilon) {
ierr++;
#ifdef VERBOSE
if (ierr < 10) {
printf("         array c: index: %ld, expected: %e, observed: %e, relative error: %e\n",
j,cj,shmptr->c[j],abs((cj-shmptr->c[j])/cAvgErr));
}
#endif
}
}
printf("     For array c[], %d errors were found.\n",ierr);
}
if (err == 0) {
printf ("Solution Validates: avg error less than %e on all three arrays\n",epsilon);
}
#ifdef VERBOSE
printf ("Results Validation Verbose Results: \n");
printf ("    Expected a(1), b(1), c(1): %f %f %f \n",aj,bj,cj);
printf ("    Observed a(1), b(1), c(1): %f %f %f \n",shmptr->a[1],shmptr->b[1],shmptr->c[1]);
printf ("    Rel Errors on a, b, c:     %e %e %e \n",abs(aAvgErr/aj),abs(bAvgErr/bj),abs(cAvgErr/cj));
#endif
}


#ifdef TUNED
/* stubs for "tuned" versions of the kernels */
void tuned_STREAM_Copy() // 复制
{
ssize_t j;
#pragma omp parallel for
        for (j=0; j<STREAM_ARRAY_SIZE; j++)
            shmptr->c[j] = shmptr->a[j];
}


void tuned_STREAM_Scale(STREAM_TYPE scalar) // 计算乘
{
ssize_t j;
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->b[j] = scalar*shmptr->c[j];
}


void tuned_STREAM_Add() // 计算加
{
ssize_t j;
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->c[j] = shmptr->a[j]+shmptr->b[j];
}


void tuned_STREAM_Triad(STREAM_TYPE scalar) // 计算加乘
{
ssize_t j;
#pragma omp parallel for
for (j=0; j<STREAM_ARRAY_SIZE; j++)
   shmptr->a[j] = shmptr->b[j]+scalar*shmptr->c[j];
}
/* end of stubs for the "tuned" versions of the kernels */
#endif
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