spack/spack-packages
Nov 2025 – Mar 2026
2 Months active
Languages Used
CPython
Technical Skills
C/C++ developmentGPU programmingdependency managementpackage managementCUDA programmingPython development
marcsrt
PROFILE
Marcsrt
Marc Sarraute developed GPU acceleration and CUDA integration for the ABINIT package in the spack/spack-packages repository, focusing on enhancing electronic structure calculations and streamlining GPU-enabled workflows. He implemented GPU-aware MPI optimizations, introduced optional GPU instrumentation, and enforced OpenMP-enabled BLAS/FFT requirements to improve performance and reliability across toolchains. Using C, CUDA, and Python, Marc updated the build matrix for GCC 15 compatibility, simplified dependency management, and expanded support for new ABINIT versions. His work reduced installation friction, improved build maintainability, and ensured robust support for both legacy and current hardware, demonstrating depth in package management and GPU programming.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
175
Activity Months2
Your Network
413 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for spack/spack-packages focusing on ABINIT CUDA enhancements, dependency simplification, and version updates. Delivered improvements in GPU-enabled ABINIT workflows, reduced build friction, and prepared baseline for future CUDA integration.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for spack/spack-packages focusing on ABINIT CUDA enhancements, dependency simplification, and version updates. Delivered improvements in GPU-enabled ABINIT workflows, reduced build friction, and prepared baseline for future CUDA integration.
March 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025In 2025-11, delivered GPU support for ABINIT in the spack-packages workflow, enabling GPU-accelerated electronic structure calculations and robust GPU builds with optional GPU instrumentation (NVTX/rocTX markers). Updated the build matrix for GCC 15 compatibility, fixed compilation for older ABINIT versions, and bumped core dependencies (HDF5, LibXC) while introducing ABINIT 10.4.3 and 10.4.7. Added GPU-aware MPI optimizations and an OpenMP-enabled BLAS/FFT requirement, plus a new variant to toggle GPU markers. Tightened packaging constraints (restrict atompaw to ABINIT@8) and improved Cray LibSci as the BLAS/LAPACK provider. These changes improve performance, broaden hardware support, and enhance build reliability across toolchains.
November 2025
1 Commits • 1 Features
Nov 1, 2025In 2025-11, delivered GPU support for ABINIT in the spack-packages workflow, enabling GPU-accelerated electronic structure calculations and robust GPU builds with optional GPU instrumentation (NVTX/rocTX markers). Updated the build matrix for GCC 15 compatibility, fixed compilation for older ABINIT versions, and bumped core dependencies (HDF5, LibXC) while introducing ABINIT 10.4.3 and 10.4.7. Added GPU-aware MPI optimizations and an OpenMP-enabled BLAS/FFT requirement, plus a new variant to toggle GPU markers. Tightened packaging constraints (restrict atompaw to ABINIT@8) and improved Cray LibSci as the BLAS/LAPACK provider. These changes improve performance, broaden hardware support, and enhance build reliability across toolchains.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
CPython
Technical Skills
C/C++ developmentCUDA programmingGPU programmingPython developmentdependency managementpackage management
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