Cilk和CUDA的组合和编译

时间:2017-09-27 04:50:08

标签: cuda cilk

我的程序包含3个文件,一个.c文件和两个.cu文件,nn.cuparallel.cu。主要功能位于一个.cu文件,nn.cu.c文件(utils.c)我extern "C" parallel.cu }。我想进一步并行化程序(在没有cilk的情况下运行完美),所以我考虑了cilk_Cilk_spawn_Cilk_sync

int main(int argc, char* argv[] ) {

    clock_t begin = clock();

    srand((unsigned)time(NULL));

    int n_inputs = atoi(argv[2]);
    int n_hidden = atoi(argv[3]);
    int n_outputs = atoi(argv[4]);

    // Build output layer
    NeuralNet nn = buildNeuralNet(n_inputs, n_outputs, n_hidden);

    // Build training samples
    int _p1[] = {0,0};
    Pattern p1 = makePatternSingleOutput(_p1, 0);
    int _p2[] = {0,1};
    Pattern p2 = makePatternSingleOutput(_p2, 1);
    int _p3[] = {1,1};
    Pattern p3 = makePatternSingleOutput(_p3, 1);
    int _p4[] = {1,0};
    Pattern p4 = makePatternSingleOutput(_p4, 1);

    Pattern patterns[] = {p3, p2, p1, p4};

    // Train the network
    _Cilk_spawn train_network(patterns, 4, atoi(argv[1]), nn);

    printf("\n\nTesting the network\n");

    _Cilk_sync;

    _Cilk_spawn update_pattern(p2, nn);
    for (int i=0; i < nn.n_outputs; i++) {
        printf("Output: %f, expected: %i\n", nn.out_output[i], p2.result[i]);
        printf("NN Error : %f\n", 1.0f - nn.out_output[i]);
    }
    cudaDeviceReset();

    _Cilk_sync;

    clock_t end = clock();
    double time_spent = (double)(end - begin) / CLOCKS_PER_SEC;
    printf("Runtime : %f\n", time_spent);

    return 0;

}

问题是当我尝试将所有这些与nvcc

一起编译时
$ nvcc -Wno-deprecated-gpu-targets -o my_nn_cilk nn.cu parallel.cu -lm
nn.cu(241): error: identifier "_Cilk_spawn" is undefined

nn.cu(241): error: expected a ")"

nn.cu(245): error: identifier "_Cilk_sync" is undefined

nn.cu(247): error: identifier "_Cilk_spawn" is undefined

nn.cu(247): error: expected a ")"

5 errors detected in the compilation of "/tmp/tmpxft_00003b52_00000000-14_nn.cpp1.ii".

_Cilk_spawn调用所需CUDA内核的两个函数。 即使我在nvcc命令中添加参数-lcilkrts,错误也是一样的。 另外,我在代码的开头有#include "cilk/cilk.h"

你能帮帮我吗?为什么它会显示这些错误并且不能编译? 提前谢谢!

1 个答案:

答案 0 :(得分:1)

它不编译的原因是,nvcc不支持cilk实现和关键字。您需要一个从您的cilk代码调用CUDA函数的包装器。下面是一个如何编写包装器并从您的cilk代码中调用它的示例:cilk with cuda sample

在链接中,它还解释了如何编译cuda代码和cilk代码以及如何链接它们。