I wish to implement convolution on arm mali GPUs and want it to be optimised for both speed and memory ? What's the best way to do this? GEMM based MCMK convolutions are not suited as they utilise a lot of memory. Also, a direct implementation on GPU is way slower than the corresponding CPU version. Any time for memory reshaping should be taken into account for timing calculations.
Here are a few leads:
1. Have you considered using the Arm Compute Library ? It supports a number of convolution kernels optimised for Mali GPUs. We'd love to hear if your use-case isn't covered or if the library isn't convenient to use for some reason.
2. You could try to use sub group operations to exchange data in a direct implementation.
Hope this helps.
Hi, I am primarily working with OpenCL 1.2 and subgroups is not supported till OpenCL 2.0. Another thing is I wish to know about the implementation details regarding the best way to do convolution in terms of memory and performance. I am primarily concerned with single kernel convolution. Kindly help.
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