NVIDIA / NVIDIA/cccl

[FEA]: Block-level `TransformReduce`

Open
#1,121 0 comments 1 reaction 0 assignees View on GitHub
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

CUB

### Is your feature request related to a problem? Please describe.

#1091 added a new CUB device-algorithm for transform reduce, to exploit potential opportunity in vectorized loads As a user, I expect to see a similar API at the block-level, potentially allowing register saving + other benefits that are also provided by the device transform reduce.

### Describe the solution you'd like

`cub::BlockReduce::TransformReduce`

### Describe alternatives you've considered

_No response_

### Additional context

_No response_

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.