Question

我必须使用CUFFT对两个信号[pulseMatrixRow [i]和pulse [i]]进行卷积。因为我的代码是 int main（int argc，char ** argv）

{
FILE *fileWritePtr;
cufftComplex h_signal[NX*BATCH];
cufftComplex h_filter_signal[NX*BATCH];
cufftComplex hf_signal[NX*BATCH];   

// Initalize the memory for the signal
for (unsigned int i = 0; i < SIGNAL_SIZE; ++i)
{
    h_signal[i].x = pulseMatrixRow[i];
    h_signal[i].y = pulseMatrixRow[i];
}

// device memory allocation 
    cudaMalloc((void**)&d_signal, sizeof(cufftComplex)*NX*BATCH);

// transfer to device memory
cudaMemcpy(d_signal, h_signal, sizeof(cufftComplex)*NX*BATCH, cudaMemcpyHostToDevice);



// Initalize the memory for the filter
for (unsigned int i = 0; i < FILTER_signal_SIZE; ++i)

{
    h_filter_signal[i].x = pulse[i];
    h_filter_signal[i].y = pulse[i];
}


// device memory allocation 
    cudaMalloc((void**)&d_filter_signal, sizeof(cufftComplex)*NX*BATCH);

// transfer to device memory
   cudaMemcpy(d_filter_signal, h_filter_signal, sizeof(cufftComplex)*NX*BATCH,         cudaMemcpyHostToDevice);

  // CUFFT plan

  cufftPlan1d(&plan, NX, CUFFT_C2C, BATCH);

  // Transform signal and fsignal

 printf("Transforming signal cufftExecC2C\n");
  cufftExecC2C(plan, (cufftComplex *)d_signal, (cufftComplex *)d_signal,     CUFFT_FORWARD);


printf("Transforming filter_signal cufftExecC2C\n");
cufftExecC2C(plan, (cufftComplex *)d_filter_signal, (cufftComplex     *)d_filter_signal, CUFFT_FORWARD);



// Multiply the coefficients together 
ComplexPointwiseMulAndScale<<<blocksPerGrid, threadsPerBlock>>>(d_signal, d_filter_signal, NX, 1.0f/NX*BATCH);


// Transform signal back
printf("Transforming signal back cufftExecC2C\n");
cufftExecC2C(plan, (cufftComplex *)d_signal, (cufftComplex *)d_signal, CUFFT_INVERSE);



// transfer results from GPU memory 


cudaMemcpy(hf_signal, d_signal, sizeof(cufftComplex)*NX*BATCH,cudaMemcpyDeviceToHost);


fileWritePtr = fopen("OutputData1.txt","w+");

for(i = 0; i < NX ; i++){
    //printf("%f %f\n", i, hf_signal[i].x, hf_signal[i].y);
     fprintf(fileWritePtr,"%d %f %f\n", i, hf_signal[i].x, hf_signal[i].y);
     }
fclose(fileWritePtr);



//Destroy CUFFT context
cufftDestroy(plan);

 // cleanup memory
 cudaFree(d_signal);
 cudaFree(d_filter_signal);


 // free(h_signal);
 // free(h_filter_signal);

return 0;

 }

我的matlab生成的pulseMatrix代码如下：

pulse = [ones(1,50) zeros(1,500-50)];
pulseMatrix = repmat(pulse,10,1);
pulseMatrix = pulseMatrix.';
pulseMatrixRow = pulseMatrix(:);

但我必须一次只处理1000个pulseMatrixRow样本，然后逐个处理1000个样本。由于我的fft是1024.，请告诉我如何以及在哪个阶段我必须在输入信号的末尾填充零和我的滤波器信号 pulse = [ones（1,50）zeros（1,500-50）];

Answer 1

您可以使用memset()将主机内存的填充归零，然后再将其转移到设备内存，或

在执行fft之前和主机到设备内存传输之后，您可以使用cudaMemset()将设备mem的填充归零。

请参阅this link了解如何使用memset()。

请参阅this link了解如何使用cudaMemset()。

如何在CUDA中进行零填充以进行卷积

1 个答案: