[FEA]: Research stateful operators for cuda.parallel
- Dominant language
- C++
- Stars
- 2.5k
- Forks
- 486
- Avg merge
- 2d 6h
- Merged PRs (30d)
- 295
Description
### Is this a duplicate?
- [x] I confirmed there appear to be no [duplicate issues](https://github.com/NVIDIA/cccl/issues) for this request and that I agree to the [Code of Conduct](CODE_OF_CONDUCT.md)
### Area
Not sure
### Is your feature request related to a problem? Please describe.
At the moment, stateful operators lead to a lot of boilerplate code:
https://github.com/NVIDIA/cccl/blob/87ef1d54b9041fd824fa3ce5480756662dd675be/python/cuda_cooperative/tests/test_block_scan.py#L64-L112
### Describe the solution you'd like
Ideally, I want users to write something along the lines of:
```python
d_input = cp.array([8, 6, 7, 5, 3, 0, 9], dtype=dtype)
cudax.bulk(3, lambda i,d_input=d_input: print(d_input[i]))
```
That'd involve packing as if capture list was passed to a Numba kernel. Numba is already doing that on kernel launches, we just need a state pointer to be passed to C++ foreign function call instead of `cuLaunchKernel`
### Describe alternatives you've considered
_No response_
### Additional context
_No response_
Contributor guide
Assessment
This issue has not been assessed yet.