我正在尝试编译一个 C 程序以尝试并行编程,当我尝试使用 nvcc 编译器(Nvidia)编译它时,它给了我这些错误:
inicis.cu(3): error: attribute "global" does not apply here
inicis.cu(3): error: incomplete type is not allowed
inicis.cu(3): error: identifier "a" is undefined
inicis.cu(3): error: expected a ")"
inicis.cu(4): error: expected a ";"
/usr/include/_locale.h(68): error: expected a declaration
inicis.cu(20): error: type name is not allowed
inicis.cu(21): error: type name is not allowed
inicis.cu(22): error: type name is not allowed
inicis.cu(41): error: identifier "dev_a" is undefined
inicis.cu(42): error: identifier "dev_b" is undefined
inicis.cu(43): error: identifier "dev_c" is undefined
似乎 nvcc 无法识别 Nvidia 制作的全局属性...
这是我的 C 程序,非常简单:
__global__ void operate(*memoria1, *memoria2)
{
memoria2[threadIdx.x] = memoria1[threadIdx.x] + 1;
}
int main(int args, char **argv){
int a[5], c[5];
int *memory_1, *memory_2;
cudaMalloc(void** &memory_1, 5 * sizeof(int));
cudaMalloc(void** &memory_2, 5 * sizeof(int));
cudaMemcpy(memory_1, a, 5 * sizeof(int), cudaMemcpyHostToDevice);
cudaMemcpy(memory_2, c, 5 * sizeof(int), cudaMemcpyHostToDevice);
operate <<<1, 5>>>(memory_1, memory_2);
cudaMemcpy(c, memory_2, 5 * sizeof(int), cudaMemcpyDeviceToHost);
for (int i = 0; i < sizeof(c); ++i)
{
printf ("%d" , c[i]);
}
cudaFree(memory_1);
cudaFree(memory_2);
return 0;
}
我认为它可能是编译器,但你认为它会是什么?