# Contributing to hipCUB #
We welcome contributions to hipCUB. Please follow these details to help ensure your contributions will be successfully accepted.
## Issue Discussion ##
Please use the GitHub Issues tab to notify us of issues.
* Use your best judgement for issue creation. If your issue is already listed, upvote the issue and
comment or post to provide additional details, such as how you reproduced this issue.
* If you're not sure if your issue is the same, err on the side of caution and file your issue.
You can add a comment to include the issue number (and link) for the similar issue. If we evaluate
your issue as being the same as the existing issue, we'll close the duplicate.
* If your issue doesn't exist, use the issue template to file a new issue.
* When filing an issue, be sure to provide as much information as possible, including script output so
we can collect information about your configuration. This helps reduce the time required to
reproduce your issue.
* Check your issue regularly, as we may require additional information to successfully reproduce the
issue.
* You may also open an issue to ask questions to the maintainers about whether a proposed change
meets the acceptance criteria, or to discuss an idea pertaining to the library.
## Acceptance Criteria ##
The purpose of hipCUB is to provide a thin wrapper library on top of rocPRIM or CUB. This wrapper allows users to port CUB projects to HIP so that they can also be run on AMD hardware.
Because it is a wrapper, the implementations of the algorithms that hipCUB API calls are not contained within hipCUB.
They exist within rocPRIM and CUB - the hipCUB API functions simply delegate the work to these underlying libraries.
This delegation should be performed in a manner that minimizes overhead.
When a pull request is created, a number of automated checks are run. These checks:
- test the change on various OS platforms (Ubuntu, RHEL, etc.)
- run on different GPU architectures (MI-series, Radeon series cards, etc.)
- run benchmarks to check for performance degredation
In order for change to be accepted:
- it must pass all of the automated checks
- it must undergo a code review
The GitHub "Issues" tab may also be used to discuss ideas surrounding particular features or changes, before raising pull requests.
## Code Structure ##
hipCUB is a header-only library. Library code lives inside of /hipcub/include.
Code is organized by the level-of-scope at which it operates. For example, the following
subdirectories are organized by hardware-level scope:
* device/ contains headers for device-level algorithms
* block/ contains headers for block-level algorithms
* warp/ contains headers for warp/wavefront-level algorithms
The following subdirectories are organized according to software-scope level:
* grid/ contains headers for grid-level operations (barriers, queues, etc.)
* thread/ contains headers for thread-level operations (load/store, scan, reduce, etc.)
Finally, the iterator/ subdirectory provides access to the iterators that are used to interact with most algorithms in the library.
Back at the root level, you can find tests and benchmarks located inside directories of the same name.
There is also an examples/ folder that contains a number of sample API use cases.
## Coding Style ##
C and C++ code should be formatted using `clang-format`. Use the clang-format version for Clang 9, which is available in the `/opt/rocm` directory. Please do not use your system's built-in `clang-format`, as this is an older version that will have different results.
To format a file, use:
```
/opt/rocm/hcc/bin/clang-format -style=file -i