[JIT] Use __ldg for CUDA kernels in fuser #18540
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While benchmarking a kernel with broadcasted inputs, I noticed that is was much slower than a hand-coded kernel for the smae task. The kernel in question computed a * b + c for a of shape 32 x 32 x 10240 and b and c of shape 1 x 32 x 1. This patch accellerates said kernel from 450us to 250us on my GTX1080Ti. I didn't change half because there doesn't seem to be __ldg for half. An alternative could be to sprinkle const and restrict.
apaszke
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Mar 27, 2019
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While benchmarking a kernel with broadcasted inputs, I noticed
that is was much slower than a hand-coded kernel for the smae task.
The kernel in question computed a * b + c for a of shape
32 x 32 x 10240 and b and c of shape 1 x 32 x 1.
This patch accellerates said kernel from 450us to 250us on my GTX1080Ti.
I didn't change half because there doesn't seem to be __ldg for
half.
An alternative could be to sprinkle const and restrict.