NVIDIA / NVIDIA/cccl

[INFRA]: Evaluate RAPIDS CMake test infrastructure for CUB

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Description

Try routing CUB tests through RAPIDS CMake test infrastructure and verify the fit with the existing CUB test flow.

Adding RAPIDS references here on the intended CTest GPU resource scheduling flow.

Related RAPIDS references:
- [RAPIDS CMake repo](https://github.com/rapidsai/rapids-cmake)
- [GPU resource scheduling docs](https://github.com/rapidsai/rapids-cmake/blob/main/docs/hardware_resources_and_testing.rst)
- [Example usage](https://github.com/rapidsai/rapids-cmake/blob/main/testing/test/add-multi-jobs-single-gpu/CMakeLists.txt)
- [rapids_test_gpu_requirements](https://github.com/rapidsai/rapids-cmake/blob/main/rapids-cmake/test/gpu_requirements.cmake)
- [Runtime GPU binding wrapper](https://github.com/rapidsai/rapids-cmake/blob/main/rapids-cmake/test/detail/run_gpu_test.cmake)

Contributor guide

Open the contributing guide

Research direction

Start by locating the existing CUB CTest and GPU test flow, then compare it with RAPIDS CMake's hardware resource scheduling documentation and the linked add-multi-jobs-single-gpu example. Determine whether routing CUB tests through that infrastructure fits the current flow, and verify the resulting GPU scheduling behavior with the relevant tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
cmake, cpp
Domain
build-system, infrastructure, testing
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
45/100

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