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#1026 allocates qf_inputs either on the heap for CPU implementations or in global device memory for GPU implementations. By reducing shared memory usage (potentially by dynamically allocating memory and using a tensor view inside interpolate and integrate), it may be possible to store these in shared memory which will be drastically more performant.
The text was updated successfully, but these errors were encountered:
#1026 allocates
qf_inputs
either on the heap for CPU implementations or in global device memory for GPU implementations. By reducing shared memory usage (potentially by dynamically allocating memory and using a tensor view insideinterpolate
andintegrate
), it may be possible to store these in shared memory which will be drastically more performant.The text was updated successfully, but these errors were encountered: