Source code that accompanies The CUDA Handbook.
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/*
*
* concurrencyMemcpyKernelMapped.cu
*
* Microbenchmark to shmoo the speedup from concurrent kernels when
* operating on mapped pinned memory.
*
* NOTE: To date, I have not found a piece of hardware where this is faster.
*
* Build with: nvcc -I ../chLib <options> concurrencyMemcpyKernelMapped.cu
* Requires: SM 1.1 for mapped pinned memory and 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 "TimeSequentialMemcpyKernelMapped.cuh"
#include "TimeConcurrentKernelMapped.cuh"
int
main( int argc, char *argv[] )
{
const int numTimes = 256;
float timesSequential[numTimes];
float timesConcurrent[numTimes];
int numBlocks;
int unrollFactor = 1;
const size_t numInts = 32*1048576;
cudaSetDeviceFlags( cudaDeviceMapHost );
chCommandLineGet( &unrollFactor, "unrollFactor", argc, argv );
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;
{
int numStreams = 8;
if ( ! chCommandLineGet( &streamsRange, "streams", argc, argv ) ) {
streamsRange.Initialize( numStreams );
}
}
{
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( "Timing mapped operations" );
if ( ! TimeSequentialMemcpyKernelMapped( timesSequential, numInts, cyclesRange, numBlocks, unrollFactor ) ) {
printf( "TimeSequentialMemcpyKernelMapped failed\n" );
return 1;
}
printf( "\nTiming streamed operations" );
if ( ! TimeConcurrentKernelMapped( timesConcurrent, numInts, cyclesRange, streamsRange, numBlocks, unrollFactor ) ) {
printf( "TimeConcurrentMemcpyKernel failed\n" );
return 1;
}
printf( "\n%d integers\n", (int) numInts );
printf( "Cycles\tMapped\tStreamed\tSpeedup\n" );
int index = 0;
for ( chShmooIterator cycles(cyclesRange); cycles; cycles++, index++ ) {
printf( "%d\t%.2f\t%.2f\t%.2f\n",
*cycles, timesSequential[index], timesConcurrent[index],
timesConcurrent[index] / timesSequential[index] );
}
return 0;
}