fftn on GPU array
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In my code, somewhere, I generate a gpuArray matrix with a size of 331x331x331x32, (single float) and I want to get an fftn from the array in a for loop. I have a 24GB TITAN RTX GPU, and before getting each fftn, I have 10 GB free on the GPU. But, when I run the code, it can calculate it without problem, but for the second loop, it returns:
An invalid FFT plan was used on the GPU.
If I pause the code and rerun the fftn, it works fine, but again, I get the error for the next loop, and the same story goes for the next loops!
I also tried the reset(gpuDevice(1)) before each for loop and noticed when I have this pice before each iteration, I will get the error, and if I run it twice, the problem will be solved! Would you please explain to me why I have this problem?
采纳的回答
before getting each fftn, I have 10 GB free on the GPU
But wit the array dimensions you've mentioned the result will consume more than 17 GB in double floating point.
331^3*64*8/2^30
You could try using single floats, but it will be a tight squeeze.
6 个评论
Mojtaba Zarei
2021-3-28
编辑：Mojtaba Zarei
2021-3-28
Matt J
2021-3-28
Are you clearing memory on subsequent iterations of the loop? Like I said, it's a tight squeeze. Even with single floats, you will only have enough memory to hold the output - we are not sure about what temporary memory space fftn requires.
Mojtaba Zarei
2021-3-28
编辑：Mojtaba Zarei
2021-3-28
A statement like
A=gather(A)
should erase the gpuArray copy of A, but
B=gather(A)
will not. It will just create a copy of A on the CPU.
Matt J
2021-3-29
Incidentally, you might find whosGPU useful
for an approximate idea of how much memory is consumed by your gpuArray variables on the GPU.
Mojtaba Zarei
2021-3-29
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