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Claude Code ReviewHead SHA: 3bebe44 Files changed: 1
Summary
FindingsNo issues found. Improvement Opportunities
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Pull request overview
Updates the DeltaAI (NCSA) cluster module configuration used by the MFC toolchain’s module loader (./mfc.sh load) to reflect a newer NVIDIA toolchain module.
Changes:
- Replaces the DeltaAI common module list entry from
nvhpc-openmpi3/24.3 cudatonvidia/25.5.
📝 WalkthroughWalkthroughThe pull request modifies a module configuration for NCSA DeltaAI in the toolchain/modules directory. The dai-all module line is updated to replace the nvhpc-openmpi3/24.3 cuda toolchain with nvidia/25.5. All other configuration parameters on the line, including Python, CMake, and compiler settings (CC/CXX/FC), remain unchanged. The dai-gpu module configuration is unaffected by this change. No public or exported entities are altered. 🚥 Pre-merge checks | ✅ 2 | ❌ 1❌ Failed checks (1 inconclusive)
✅ Passed checks (2 passed)
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| dai NCSA DeltaAI | ||
| dai-all python cmake nvhpc-openmpi3/24.3 cuda | ||
| dai-all python cmake nvidia/25.5 |
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🧩 Analysis chain
🌐 Web query:
For NCSA DeltaAI, what components are included in the nvidia/25.5` module?
Specifically confirm whether it provides:
- CUDA toolkit/runtime paths, and
- MPI (OpenMPI/HPC-X) usable for multi-rank jobs with nvc/nvc++/nvfortran.
Please include official cluster/module documentation links.`
💡 Result:
What the DeltaAI docs publicly confirm (re: NVIDIA HPC SDK 25.5)
1) CUDA toolkit/runtime paths
Yes—DeltaAI provides CUDA via its cudatoolkit module, and the documented nvcc path is inside the NVIDIA HPC SDK 25.5 install tree:
cudatoolkit/25.5_12.9nvccat/opt/nvidia/hpc_sdk/Linux_aarch64/25.5/compilers/bin/nvcc(CUDA 12.9) (docs.ncsa.illinois.edu)
So regardless of whether you reach it through a higher-level nvidia/25.5-style module, the official DeltaAI documentation confirms CUDA paths are being set from the HPC SDK 25.5 installation. (docs.ncsa.illinois.edu)
2) MPI (OpenMPI/HPC‑X) usable for multi-rank jobs with nvc/nvc++/nvfortran
Not as OpenMPI/HPC‑X per the DeltaAI docs. DeltaAI’s documented MPI for multi-rank jobs is Cray MPICH, and GPU-aware MPI is enabled via:
export MPICH_GPU_SUPPORT_ENABLED=1(docs.ncsa.illinois.edu)
The docs also describe the system programming environments (modules) as PrgEnv-gnu, PrgEnv-cray, and prgenv-nvidia (lowercase), i.e., a Cray Programming Environment workflow rather than an OpenMPI/HPC‑X one. (docs.ncsa.illinois.edu)
Separately, NVIDIA’s own HPC SDK 25.5 release notes indicate HPC‑X is selected by loading a dedicated nvhpc-hpcx-... environment module (i.e., it’s not implied to be automatically “the MPI” you get just by loading the base HPC SDK). (docs.nvidia.com)
Official documentation links (cluster + vendor)
- DeltaAI “Programming Environment (Building Software)” (CUDA module + GPUDirect/Cray MPICH notes). (docs.ncsa.illinois.edu)
- DeltaAI “Installed Software” (module system context). (docs.ncsa.illinois.edu)
- NVIDIA HPC SDK 25.5 Release Notes (HPC‑X selection via
nvhpc-hpcx-...module). (docs.nvidia.com)
What I could not confirm from public docs
I did not find a public DeltaAI page that enumerates the exact contents of a module named nvidia/25.5 (e.g., the full module show nvidia/25.5 output and whether it directly exposes an OpenMPI/HPC‑X tree).
If you paste the output of:
module show nvidia/25.5
module show prgenv-nvidia
module spider hpcxI can tell you definitively whether nvidia/25.5 is setting CUDA vars/paths itself and whether it also wires in HPC‑X/OpenMPI on DeltaAI.
Citations:
- 1: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/prog-env.html
- 2: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/prog-env.html
- 3: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/prog-env.html
- 4: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/prog-env.html
- 5: https://docs.nvidia.com/hpc-sdk/archive/25.5/hpc-sdk-release-notes/index.html?utm_source=openai
- 6: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/prog-env.html
- 7: https://docs.ncsa.illinois.edu/systems/deltaai/en/latest/user-guide/software.html
- 8: https://docs.nvidia.com/hpc-sdk/archive/25.5/hpc-sdk-release-notes/index.html?utm_source=openai
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Add explicit MPI configuration to dai-all modules.
The nvidia/25.5 module provides CUDA, but DeltaAI's documented multi-rank workflow requires Cray MPICH with GPU support (set via MPICH_GPU_SUPPORT_ENABLED=1). Add either an explicit prgenv-nvidia module or cray-mpich module to the dai-all line to ensure MPI is available for multi-rank builds and runs, consistent with DeltaAI's programming environment guidelines.
Description
Replaces old DeltaAI modules with new working module.
Fixes #(issue)
Type of change
Testing
I ran the
examples/3D_performance_test/case with a 360^3 grid on 1, 2, 4, and 8 GPUs on DeltaAI. See results below: