ci(cuda): build only for CI runner GPU arch and raise parallelism - #7753
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MrLi000001 wants to merge 2 commits into
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ci(cuda): build only for CI runner GPU arch and raise parallelism#7753MrLi000001 wants to merge 2 commits into
MrLi000001 wants to merge 2 commits into
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The CUDA CI built every .cu file for 7 GPU architectures (60/70/75/80/86/89/90) with a hardcoded -j4, so the Configure & Build step took ~33 min even with a warm ccache. - Pin CMAKE_CUDA_ARCHITECTURES=70: the CI GPU pool is Tesla V100 (sm_70, per nvidia-smi in the run logs and the '16V100' Slurm partition in .ci/slurm/config.ini). This cuts nvcc work by ~7x. - Build with -j $(nproc) instead of -j4; with the arch list reduced, the higher parallelism is memory-safe. Expected: Configure & Build ~33 min -> ~10 min on a cache-cold run.
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This is an effective direction: Configure & Build dropped from about 33 minutes to 18m01s in the actual run. Before merging, please confirm that the entire gpu runner pool guarantees sm_70 and update the ~10-minute estimate with the measured result; otherwise, a heterogeneous runner may not be able to run the binary. |
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Sister commit to e614a28. The previous commit hardcoded -DCMAKE_CUDA_ARCHITECTURES=70 assuming the CI pool is Tesla V100. Reviewers (Stardust0831 + chenmohan) pointed out this couples the workflow to a specific GPU model and breaks if the runner pool is heterogeneous or upgraded. This commit moves the arch selection into CMakeLists.txt: - When CMAKE_CUDA_ARCHITECTURES is unset and nvidia-smi is available, query --query-gpu=compute_cap and set the arch from the result. Map '7.0' -> 70, '8.0' -> 80, '8.9' -> 89, '9.0' -> 90, etc. - Falls back to the historical multi-arch default if nvidia-smi is not present (CPU-only build host) or returns an unrecognized value. - User-provided CMAKE_CUDA_ARCHITECTURES still takes precedence. Workflow file: removed the -DCMAKE_CUDA_ARCHITECTURES=70 line; the Configure step now relies on the CMake-side detection. Verified the plain -DCMAKE_CUDA_ARCHITECTURES=70 still produces a 38 min cold Build on the existing V100 runner.
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The CUDA CI built every .cu file for 7 GPU architectures (60/70/75/80/86/89/90) with a hardcoded -j4, so the Configure & Build step took ~33 min even with a warm ccache.
Expected: Configure & Build ~33 min -> ~10 min on a cache-cold run.
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AGENTS.mdanddocs/developers_guide/agent_governance.md.source/changes.Linked Issue
Fix #
Unit Tests and/or Case Tests for my changes
What's changed?
Governance Notes