Comments (2)
andyschwarzl
commented on August 11, 2024
The base set of the code should not lead to any GPU memory leaks, but what I've seen was memory fragmentation when working with the same device context and instantiating the gpuNUFFT operator several times.
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chaithyagr
commented on August 11, 2024
Hmmm, interesting.
This seems to be a specific issue with python codes in that case. I have a feeling this comes up if the NUFFTOp object is not destroyed. Also, this could be due to the fact that memory ownership could be passed to python. I will look into this and try to get a PR
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Related Issues (20)
- Support for Multiple Workers HOT 1
- Support for Python through bindings using pybind11
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- [PYTHON] Add support to provide gridding and interpolation HOT 1
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- Low GPU utilization on 1080ti, 2080ti and TitanX HOT 4
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- Incompatibility with CUDA 11 HOT 10
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