致命错误.cubin不是keyword=value格式

Question

我试图通过将一个CUDA内核分解成四个不同的内核来优化它。在代码开始时，我已经对所有这些内核进行了原型化。

__global__ void knowles_flux__oligomers(double*, double*);
__global__ void knowles_flux__nucleus(double*, double*);
__global__ void knowles_flux__fibrils(double*, double*);
__global__ void knowles_flux__maxlength(double*, double*);
__device__ void calcFlux(double*, double*, double*);

... Code ...

__device__ void calcFlux(double* concs, double* fluxes, double* dt)
{
    knowles_flux_fibrils<<< numBlocks, numThreads >>>(fluxes, concs);
    cudaDeviceSynchronize();
    knowles_flux_oligomers<<< 1, nc-1 >>>(fluxes, concs);
    knowles_flux_nucleus<<< 1, 1 >>>(fluxes, concs);
    knowles_flux_maxlength<<< 1, 1 >>>(fluxes, concs);
    cudaDeviceSynchronize();
}
__global__ void knowles_flux_oligomers(double *fluxes, double *conc)
{
    int idx = blockIdx.x * blockDim.x + threadIdx.x + 1;
    fluxes[idx] = 0;
}
__global__ void knowles_flux_nucleus(double *fluxes, double *conc)
{
    int idx = blockIdx.x * blockDim.x + threadIdx.x + nc - 1;
    double frag_term = 0;
    for (int s = idx+1; s < (maxlength); s++)
    {
        frag_term += conc[s];
    }
    fluxes[idx] = (kn)*pow(conc[0],(nc)) + 2*(km)*frag_term - 2*(ka)*conc[idx]*conc[0];
}
__global__ void knowles_flux_fibrils(double *fluxes, double *conc)
{
    int idx = blockIdx.x * blockDim.x + threadIdx.x;
    double frag_term = 0;
    for (int s = idx+1; s < (maxlength); s++)
    {
        frag_term += conc[s];
    }
    fluxes[idx] = -(km)*(idx)*conc[idx] + 2*(km)*frag_term - 2*(ka)*conc[idx]*conc[0] + 2*(ka)*conc[idx-1]*conc[0];
}
__global__ void knowles_flux_maxlength(double *fluxes, double *conc)
{
    int idx = blockIdx.x * blockDim.x + threadIdx.x + maxlength - 1;
    fluxes[idx] = -km*(idx)*conc[idx]+2*(ka)*conc[idx-1]*conc[0];
}

导致错误“加脂二进制:致命错误：'Multiple‘..sm_35.cubin’不是在'keyword=value‘格式中，其中'Multiple’部分是我试图编译的源文件的尾部。

也许我的google-fu很弱，但我不会因为这种错误而想出任何东西。

Answer 1

好的，这个问题与代码无关。这个错误实际上与我试图编译的源文件的文件名有关。文件名最初是"GPU RKF45 (可变步长，多通量内核).cu“。文件名中的逗号似乎造成了问题。摆脱它让它编译。