Source code that accompanies The CUDA Handbook.
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/*
*
* concurrencyMemcpyKernel.cu
*
* Microbenchmark to shmoo performance improvements due to streaming.
*
* Build with: nvcc -I ../chLib --gpu-architecture sm_11 <options> concurrencyMemcpyKernel.cu
* Requires: SM 1.1 for global atomics.
*
* Copyright (c) 2011-2012, Archaea Software, LLC.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
*/
#include <stdio.h>
#include <stdlib.h>
#include "chAssert.h"
#include "chError.h"
#include "chShmoo.h"
#include "chCommandLine.h"
#include "chTimer.h"
#include "AddKernel.cuh"
#include "TimeConcurrentMemcpyKernel.cuh"
#include "TimeSequentialMemcpyKernel.cuh"
int
main( int argc, char *argv[] )
{
const int numTimes = 256;
float timesSequentialHtoD[numTimes];
float timesSequentialKernel[numTimes];
float timesSequentialDtoH[numTimes];
float timesSequentialTotal[numTimes];
float timesConcurrent[numTimes];
int numBlocks;
int sizeCmdLine = 32; // 32M integers by default
size_t numInts; // 32M integers by default
chShmooRange cyclesRange;
{
const int minCycles = 8;
const int maxCycles = 512;
const int stepCycles = 8;
cyclesRange.Initialize( minCycles, maxCycles, stepCycles );
chCommandLineGet( &cyclesRange, "Cycles", argc, argv );
}
chShmooRange streamsRange;
{
const int numStreams = 8;
if ( ! chCommandLineGet( &streamsRange, "Streams", argc, argv ) ) {
streamsRange.Initialize( numStreams );
}
}
chCommandLineGet( &sizeCmdLine, "size", argc, argv );
numInts = (size_t) sizeCmdLine * 1048576;
{
cudaDeviceProp props;
cudaGetDeviceProperties( &props, 0 );
int multiplier = 16;
chCommandLineGet( &multiplier, "blocksPerSM", argc, argv );
numBlocks = props.multiProcessorCount * multiplier;
printf( "Using %d blocks per SM on GPU with %d SMs = %d blocks\n", multiplier,
props.multiProcessorCount, numBlocks );
}
printf( "%dM integers\n", numInts>>20 );
printf( "Timing sequential operations" );
if ( ! TimeSequentialMemcpyKernel( timesSequentialHtoD, timesSequentialKernel,
timesSequentialDtoH, timesSequentialTotal, numInts, cyclesRange, numBlocks ) )
{
printf( "TimeSequentialMemcpyKernel failed\n" );
return 1;
}
printf( "\nTiming concurrent operations" );
if ( ! TimeConcurrentMemcpyKernel( timesConcurrent, numInts,
cyclesRange, streamsRange,
numBlocks ) )
{
printf( "TimeConcurrentMemcpyKernel failed\n" );
return 1;
}
printf( "\nCycles\tHtoD\tKernel\tDtoH\tTotal\tConcurrent\tSpeedup\n" );
int index = 0;
for ( chShmooIterator cycles(cyclesRange); cycles; cycles++, index++ ) {
printf( "%d\t%.2f\t%.2f\t%.2f\t%.2f\t%.2f\t%.2f\n",
*cycles, timesSequentialHtoD[index], timesSequentialKernel[index],
timesSequentialDtoH[index], timesSequentialTotal[index], timesConcurrent[index],
timesSequentialTotal[index] / timesConcurrent[index] );
}
return 0;
}