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Is your feature request related to a problem? Please describe.
Compared to existing solutions in PyTorch and CuPy, one of the distinguishing features of cuda.parallel is flexibility. Part of that flexibility is coming from support of user-defined data types and operators. But compared to CUDA C++ solution, cuda.parallel API is still limited. We are still missing fancy iterators and cache modified iterators in cuda.parallel.
Describe the solution you'd like
Given that fancy iterators support might require rather invasive changes to cuda.parallel and CCCL/c libraries, we should design fancy iterators before introducing more algorithms to cuda.parallel.
Describe alternatives you've considered
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Is this a duplicate?
Area
General CCCL
Is your feature request related to a problem? Please describe.
Compared to existing solutions in PyTorch and CuPy, one of the distinguishing features of cuda.parallel is flexibility. Part of that flexibility is coming from support of user-defined data types and operators. But compared to CUDA C++ solution, cuda.parallel API is still limited. We are still missing fancy iterators and cache modified iterators in cuda.parallel.
Describe the solution you'd like
Given that fancy iterators support might require rather invasive changes to cuda.parallel and CCCL/c libraries, we should design fancy iterators before introducing more algorithms to cuda.parallel.
Describe alternatives you've considered
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: