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Switch to cuda::std::span once available #332
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Span supports a static extent as a second size_t tparam - though not as elegant as our extent type. Since |
PointKernel
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type: feature request
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Necessary but not critical
P2: Nice to have
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P1: Should have
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Jul 26, 2023
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Oct 16, 2023
This PR separates out the libcudacxx update from #399. I am proposing to update only libcudacxx to 2.1.0, and leave thrust/cub pinned at 1.17.2 until all of RAPIDS is ready to update. Then we can move forward with #399 next. Separating the update for libcudacxx should allow RAPIDS to use some of the new features we want while giving more time to RAPIDS libraries to migrate to CCCL 2.1.0 (particularly for breaking changes in Thrust/CUB). **Immediate benefits of bumping only libcudacxx to 2.1.0:** - Enables migration to Thrust/CUB 2.1.0 to be done more incrementally, because we could merge PRs using `cuda::proclaim_return_type` into cudf/etc. which would reduce the amount of unmerged code we're maintaining in the "testing PRs" while waiting for all RAPIDS repos to be ready for Thrust/CUB 2.1.0. - Unblocks work in rmm (rapidsai/rmm#1095) and quite a few planned changes for cuCollections (such as NVIDIA/cuCollections#332, NVIDIA/cuCollections#331, NVIDIA/cuCollections#289) **Risk Assessment:** This should be fairly low risk because libcudacxx 2.1.0 is similar to our current pinning of 1.9.1 -- the major version bump was meant to align with Thrust/CUB and isn't indicative of major breaking changes. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - Robert Maynard (https://github.com/robertmaynard) - Vyas Ramasubramani (https://github.com/vyasr) URL: #464
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This updates cuCollections to rapids-cmake 23.12. This comes with rapidsai/rapids-cmake#464, which updates libcudacxx to 2.1.0. That should unblock several cuCollections issues such as #332, #331, #289.
@sleeepyjack Is this still desired? |
PointKernel
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Oct 25, 2024
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Our hash function implementations currently make use of the following function signature:
We should switch to
cuda::std::span
instead of raw pointers, once rapidsai/rapids-cmake#399 is resolved.The text was updated successfully, but these errors were encountered: