Add patch for thrust-cub 1.16 to fix sort compile times #10577
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davidwendt
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## branch-22.06 #10577 +/- ##
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Coverage 86.33% 86.33%
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bdice
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Apr 2, 2022
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This looks like it fixes the build time regressions and the diff-of-diffs looks fine. Thanks @davidwendt! I was mostly focused on the performance of benchmarks and hadn't checked the build time report on #10489.
ttnghia
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Apr 4, 2022
vyasr
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Apr 4, 2022
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bdice
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Apr 4, 2022
…dsai#10577)" This reverts commit ff1ff80.
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PR #10489 updated from Thrust 1.15 to Thrust 1.16. However, this appears to be causing conflicts with other repositories -- [cuSpatial](rapidsai/cuspatial#511 (comment)) and cuGraph have reported issues where their builds are finding Thrust 1.16 from libcudf instead of Thrust 1.15 which is [currently pinned by rapids-cmake](https://github.com/rapidsai/rapids-cmake/blob/06a657281cdd83781e49afcdbb39abc491eeab17/rapids-cmake/cpm/versions.json#L26). This PR is intended to unblock local builds and CI builds for other RAPIDS packages until we are able to identify the root cause (which may be due to CMake include path orderingsrapids-cmake). Last time Thrust was updated, [rapids-cmake was updated](rapidsai/rapids-cmake#138) one day before [libcudf was updated](#9912). That may explain why we didn't notice this problem with the 1.15 update. The plan I currently have in mind is: 1. Merge this PR to roll back libcudf to Thrust 1.15 (and revert the patch for Thrust 1.16 [10577](#10577)). This will hopefully unblock CI for cugraph and cuspatial. 2. Try to work out whatever issues with CMake / include paths may exist. 3. Prepare all rapids-cmake repos for Thrust 1.16 compatibility. I've [done this for RMM already](rapidsai/rmm#1011), and I am working on [PR 4675](rapidsai/cuml#4675) to cuML now. I am planning to make the same fixes for `#include`s in cuCollections, raft, cuSpatial, and cuGraph so they will be compatible with Thrust 1.16. 4. Try to upgrade libcudf to Thrust 1.16 again (and re-apply the updated patch). If (2) has been resolved, I hope we won't see any issues in other RAPIDS libraries 5. Upgrade rapids-cmake to Thrust 1.16. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - Vyas Ramasubramani (https://github.com/vyasr) - Mark Harris (https://github.com/harrism) URL: #10586
abellina
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Apr 11, 2022
Fixes `thrust.patch` to patch the CUB source for `sort` to minimize the inlining of the comparator functor. The build was updated in rapidsai#10489 to thrust-1.16 which includes change to thrust sort using CUB's `DeviceMergeSort`. This means the previous patch does not apply to the new thrust/cub source. This dramatically increased the build for `sort.cu` and other related source files as can be seen in this Build Metrics Report from rapidsai#10489: https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cudf/job/prb/job/cudf-cpu-cuda-build/CUDA=11.5/8633/Build_20Metrics_20Report/ This PR moves the `pragma unroll` changes into the appropriate CUB source files reducing the build time back to the previous levels (or close to it I hope). Authors: - David Wendt (https://github.com/davidwendt) Approvers: - Bradley Dice (https://github.com/bdice) - Nghia Truong (https://github.com/ttnghia) - Vyas Ramasubramani (https://github.com/vyasr) URL: rapidsai#10577
abellina
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Apr 11, 2022
PR rapidsai#10489 updated from Thrust 1.15 to Thrust 1.16. However, this appears to be causing conflicts with other repositories -- [cuSpatial](rapidsai/cuspatial#511 (comment)) and cuGraph have reported issues where their builds are finding Thrust 1.16 from libcudf instead of Thrust 1.15 which is [currently pinned by rapids-cmake](https://github.com/rapidsai/rapids-cmake/blob/06a657281cdd83781e49afcdbb39abc491eeab17/rapids-cmake/cpm/versions.json#L26). This PR is intended to unblock local builds and CI builds for other RAPIDS packages until we are able to identify the root cause (which may be due to CMake include path orderingsrapids-cmake). Last time Thrust was updated, [rapids-cmake was updated](rapidsai/rapids-cmake#138) one day before [libcudf was updated](rapidsai#9912). That may explain why we didn't notice this problem with the 1.15 update. The plan I currently have in mind is: 1. Merge this PR to roll back libcudf to Thrust 1.15 (and revert the patch for Thrust 1.16 [10577](rapidsai#10577)). This will hopefully unblock CI for cugraph and cuspatial. 2. Try to work out whatever issues with CMake / include paths may exist. 3. Prepare all rapids-cmake repos for Thrust 1.16 compatibility. I've [done this for RMM already](rapidsai/rmm#1011), and I am working on [PR 4675](rapidsai/cuml#4675) to cuML now. I am planning to make the same fixes for `#include`s in cuCollections, raft, cuSpatial, and cuGraph so they will be compatible with Thrust 1.16. 4. Try to upgrade libcudf to Thrust 1.16 again (and re-apply the updated patch). If (2) has been resolved, I hope we won't see any issues in other RAPIDS libraries 5. Upgrade rapids-cmake to Thrust 1.16. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - Vyas Ramasubramani (https://github.com/vyasr) - Mark Harris (https://github.com/harrism) URL: rapidsai#10586
rapids-bot bot
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Aug 11, 2022
Updates the bundled version of Thrust to 1.17.0. I will run benchmarks and include results in a comment below. Depends on #11457. Supersedes #10489, #10577, #10586. Closes #10841. **This should be merged concurrently with rapidsai/rapids-cmake#231 Authors: - Bradley Dice (https://github.com/bdice) Approvers: - David Wendt (https://github.com/davidwendt) - Nghia Truong (https://github.com/ttnghia) - Robert Maynard (https://github.com/robertmaynard) URL: #11437
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Fixes
thrust.patchto patch the CUB source forsortto minimize the inlining of the comparator functor. The build was updated in #10489 to thrust-1.16 which includes change to thrust sort using CUB'sDeviceMergeSort. This means the previous patch does not apply to the new thrust/cub source. This dramatically increased the build forsort.cuand other related source files as can be seen in this Build Metrics Report from #10489: https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cudf/job/prb/job/cudf-cpu-cuda-build/CUDA=11.5/8633/Build_20Metrics_20Report/This PR moves the
pragma unrollchanges into the appropriate CUB source files reducing the build time back to the previous levels (or close to it I hope).