Difference between revisions of "FFT Cuda"
From ElphelWiki
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To use the GPU memory use cudaMalloc. | To use the GPU memory use cudaMalloc. | ||
| − | How to copy from 'CPU' memory to 'GPU' memory? | + | === How to copy from 'CPU' memory to 'GPU' memory? === |
| + | |||
| + | cudaMemcpy(dstcudaMallocLocation, srchostTiffLocation, counthost, cudaMemcpyHostToDevice) | ||
Revision as of 17:13, 4 November 2010
Input
- Image is presented in TIFF file structure
- Array of, FFT of kernels (64x64)
Todo
- Take a windows 128x128, step by 32 pixels
- Make a FFT (DFT_2D)
- Get nth-kernel, pad 32px zero's to each side
- Multiply FFT with kernel
- Inverse FFT of the result
- Save 128x128 window to the n'th position in the TIFF
Knowledge required
CuFFT is modeled after FFTW. To create a new operation we start with cufftPlan2d. The actual operation happens wth cufftExecC2C. cufftExecC2C takes input and output data, respectivily idata and odata in GPU memory.
To use the GPU memory use cudaMalloc.
How to copy from 'CPU' memory to 'GPU' memory?
cudaMemcpy(dstcudaMallocLocation, srchostTiffLocation, counthost, cudaMemcpyHostToDevice)
