零内存拷贝和普通拷贝对比

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/*
* Copyright 1993-2010 NVIDIA Corporation.  All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use, reproduction, disclosure, or distribution of this software
* and related documentation without an express license agreement from
* NVIDIA Corporation is strictly prohibited.
*
* Please refer to the applicable NVIDIA end user license agreement (EULA)
* associated with this source code for terms and conditions that govern
* your use of this NVIDIA software.
*
*/


#include "../common/book.h"
#include "cuda.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "device_functions.h"
#define imin(a,b) (a<b?a:b)

const int N = 33 * 1024 * 1024;
const int threadsPerBlock = 256;
const int blocksPerGrid =
imin(32, (N + threadsPerBlock - 1) / threadsPerBlock);


__global__ void dot(int size, float *a, float *b, float *c) {
    __shared__ float cache[threadsPerBlock];
    int tid = threadIdx.x + blockIdx.x * blockDim.x;
    int cacheIndex = threadIdx.x;

    float   temp = 0;
    while (tid < size) {
        temp += a[tid] * b[tid];
        tid += blockDim.x * gridDim.x;
    }

    // set the cache values
    cache[cacheIndex] = temp;

    // synchronize threads in this block
    __syncthreads();

    // for reductions, threadsPerBlock must be a power of 2
    // because of the following code
    int i = blockDim.x / 2;
    while (i != 0) {
        if (cacheIndex < i)
            cache[cacheIndex] += cache[cacheIndex + i];
        __syncthreads();
        i /= 2;
    }

    if (cacheIndex == 0)
        c[blockIdx.x] = cache[0];
}


float malloc_test(int size) {
    cudaEvent_t     start, stop;
    float           *a, *b, c, *partial_c;
    float           *dev_a, *dev_b, *dev_partial_c;
    float           elapsedTime;

    HANDLE_ERROR(cudaEventCreate(&start));
    HANDLE_ERROR(cudaEventCreate(&stop));

    // allocate memory on the CPU side
    a = (float*)malloc(size*sizeof(float));
    b = (float*)malloc(size*sizeof(float));
    partial_c = (float*)malloc(blocksPerGrid*sizeof(float));

    // allocate the memory on the GPU
    HANDLE_ERROR(cudaMalloc((void**)&dev_a,
        size*sizeof(float)));
    HANDLE_ERROR(cudaMalloc((void**)&dev_b,
        size*sizeof(float)));
    HANDLE_ERROR(cudaMalloc((void**)&dev_partial_c,
        blocksPerGrid*sizeof(float)));

    // fill in the host memory with data
    for (int i = 0; i<size; i++) {
        a[i] = i;
        b[i] = i * 2;
    }

    HANDLE_ERROR(cudaEventRecord(start, 0));
    // copy the arrays 'a' and 'b' to the GPU
    HANDLE_ERROR(cudaMemcpy(dev_a, a, size*sizeof(float),
        cudaMemcpyHostToDevice));
    HANDLE_ERROR(cudaMemcpy(dev_b, b, size*sizeof(float),
        cudaMemcpyHostToDevice));

    dot << <blocksPerGrid, threadsPerBlock >> >(size, dev_a, dev_b,
        dev_partial_c);
    // copy the array 'c' back from the GPU to the CPU
    HANDLE_ERROR(cudaMemcpy(partial_c, dev_partial_c,
        blocksPerGrid*sizeof(float),
        cudaMemcpyDeviceToHost));

    HANDLE_ERROR(cudaEventRecord(stop, 0));
    HANDLE_ERROR(cudaEventSynchronize(stop));
    HANDLE_ERROR(cudaEventElapsedTime(&elapsedTime,
        start, stop));

    // finish up on the CPU side
    c = 0;
    for (int i = 0; i<blocksPerGrid; i++) {
        c += partial_c[i];
    }

    HANDLE_ERROR(cudaFree(dev_a));
    HANDLE_ERROR(cudaFree(dev_b));
    HANDLE_ERROR(cudaFree(dev_partial_c));

    // free memory on the CPU side
    free(a);
    free(b);
    free(partial_c);

    // free events
    HANDLE_ERROR(cudaEventDestroy(start));
    HANDLE_ERROR(cudaEventDestroy(stop));

    printf("Value calculated:  %f
", c);

    return elapsedTime;
}


float cuda_host_alloc_test(int size) {
    cudaEvent_t     start, stop;
    float           *a, *b, c, *partial_c;
    float           *dev_a, *dev_b, *dev_partial_c;
    float           elapsedTime;

    HANDLE_ERROR(cudaEventCreate(&start));
    HANDLE_ERROR(cudaEventCreate(&stop));

    // allocate the memory on the CPU
    HANDLE_ERROR(cudaHostAlloc((void**)&a,
        size*sizeof(float),
        cudaHostAllocWriteCombined |
        cudaHostAllocMapped));
    HANDLE_ERROR(cudaHostAlloc((void**)&b,
        size*sizeof(float),
        cudaHostAllocWriteCombined |
        cudaHostAllocMapped));
    HANDLE_ERROR(cudaHostAlloc((void**)&partial_c,
        blocksPerGrid*sizeof(float),
        cudaHostAllocMapped));

    // find out the GPU pointers
    HANDLE_ERROR(cudaHostGetDevicePointer(&dev_a, a, 0));
    HANDLE_ERROR(cudaHostGetDevicePointer(&dev_b, b, 0));
    HANDLE_ERROR(cudaHostGetDevicePointer(&dev_partial_c,
        partial_c, 0));

    // fill in the host memory with data
    for (int i = 0; i<size; i++) {
        a[i] = i;
        b[i] = i * 2;
    }

    HANDLE_ERROR(cudaEventRecord(start, 0));

    dot << <blocksPerGrid, threadsPerBlock >> >(size, dev_a, dev_b,
        dev_partial_c);

    HANDLE_ERROR(cudaThreadSynchronize());
    HANDLE_ERROR(cudaEventRecord(stop, 0));
    HANDLE_ERROR(cudaEventSynchronize(stop));
    HANDLE_ERROR(cudaEventElapsedTime(&elapsedTime,
        start, stop));

    // finish up on the CPU side
    c = 0;
    for (int i = 0; i<blocksPerGrid; i++) {
        c += partial_c[i];
    }

    HANDLE_ERROR(cudaFreeHost(a));
    HANDLE_ERROR(cudaFreeHost(b));
    HANDLE_ERROR(cudaFreeHost(partial_c));

    // free events
    HANDLE_ERROR(cudaEventDestroy(start));
    HANDLE_ERROR(cudaEventDestroy(stop));

    printf("Value calculated:  %f
", c);

    return elapsedTime;
}


int main(void) {
    cudaDeviceProp  prop;
    int whichDevice;
    HANDLE_ERROR(cudaGetDevice(&whichDevice));
    HANDLE_ERROR(cudaGetDeviceProperties(&prop, whichDevice));
    if (prop.canMapHostMemory != 1) {
        printf("Device can not map memory.
");
        return 0;
    }

    float           elapsedTime;

    HANDLE_ERROR(cudaSetDeviceFlags(cudaDeviceMapHost));

    // try it with malloc
    elapsedTime = malloc_test(N);
    printf("Time using cudaMalloc:  %3.1f ms
",
        elapsedTime);

    // now try it with cudaHostAlloc
    elapsedTime = cuda_host_alloc_test(N);
    printf("Time using cudaHostAlloc:  %3.1f ms
",
        elapsedTime);
}