lattice/quda
Mar 2025 – Jul 2025
4 Months active
Languages Used
C++ShellYAML
Technical Skills
BLASCUDAHIPLinear AlgebraBuild SystemsCI/CD
Damon McDougall
PROFILE
Damon Mcdougall
Damon McDougall contributed to the lattice/quda repository by enhancing the HIP backend and modernizing the ROCm build pipeline. He enabled double complex support in BatchInvertMatrix, stabilized precision handling for complex arithmetic, and resolved wavefront size inconsistencies to improve host-device reliability. Damon migrated ROCm CI workflows from self-hosted environments to GitHub Actions, implementing automated ROCm component installation and CMake configuration for reproducible builds. His work involved C++, CUDA, and CI/CD technologies, focusing on low-level performance optimization and cross-architecture compatibility. These contributions addressed regressions, improved test reliability, and reduced maintenance overhead, demonstrating depth in high-performance GPU computing and build systems.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
7Total
Bugs
4
Commits
7
Features
2
Lines of code
237
Activity Months4
Your Network
1301 people
Work History
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments in the QUDA HIP backend. Delivered a targeted bug fix to ensure correct wavefront size reporting and stable host-device interaction, improving cross-architecture reliability and user confidence in the QUDA HIP backend.
1 Commits
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments in the QUDA HIP backend. Delivered a targeted bug fix to ensure correct wavefront size reporting and stable host-device interaction, improving cross-architecture reliability and user confidence in the QUDA HIP backend.
July 2025
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary highlighting the main technical and business value delivered for lattice/quda. Focused on expanding ROCm/hipblas compatibility, stabilizing precision-related tests, and addressing ROCm regressions to improve overall runtime stability and reliability across stacks.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary highlighting the main technical and business value delivered for lattice/quda. Focused on expanding ROCm/hipblas compatibility, stabilizing precision-related tests, and addressing ROCm regressions to improve overall runtime stability and reliability across stacks.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lattice/quda: Delivered migration of ROCm build CI from a self-hosted ROCm environment to a Ubuntu-latest GitHub Actions runner, centralizing and stabilizing ROCm builds across CI. Removed legacy rocm-build-ci.yml and introduced rocm_githubactions_build.yml. Implemented ROCm component installation and CMake configuration on the GitHub Actions runner to enable consistent, reproducible builds in cloud environments. This work includes provisioning a non-self-hosted GitHub runner to improve scalability and reduce maintenance of dedicated CI infrastructure.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lattice/quda: Delivered migration of ROCm build CI from a self-hosted ROCm environment to a Ubuntu-latest GitHub Actions runner, centralizing and stabilizing ROCm builds across CI. Removed legacy rocm-build-ci.yml and introduced rocm_githubactions_build.yml. Implemented ROCm component installation and CMake configuration on the GitHub Actions runner to enable consistent, reproducible builds in cloud environments. This work includes provisioning a non-self-hosted GitHub runner to improve scalability and reduce maintenance of dedicated CI infrastructure.
April 2025
March 2025
1 Commits
Mar 1, 2025March 2025 performance-focused update for lattice/quda: focused on stabilizing the HIP backend numeric path by re-enabling double complex support in BatchInvertMatrix, addressing test failures, and improving reliability for complex-valued simulations.
March 2025
1 Commits
Mar 1, 2025March 2025 performance-focused update for lattice/quda: focused on stabilizing the HIP backend numeric path by re-enabling double complex support in BatchInvertMatrix, addressing test failures, and improving reliability for complex-valued simulations.
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.8%
Architecture81.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++ShellYAML
Technical Skills
BLASBuild SystemsC++CI/CDCMakeCUDAGPU ComputingGitHub ActionsHIPHigh-Performance ComputingLinear AlgebraLow-Level ProgrammingPerformance OptimizationROCmTesting
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