lattice/quda
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++
Technical Skills
C++ DevelopmentCode FormattingCode RefactoringDocumentationHigh-Performance ComputingLattice QCD
Aniket Sen
PROFILE
Aniket Sen
Worked on the lattice/quda repository to expand simulation capabilities by implementing multi-spinor support in the performGFlowQuda function, allowing the API to handle arrays of spinor fields and updating function signatures for greater flexibility. The approach included comprehensive documentation updates for nSpinors, improving onboarding and code clarity. Applied a clang-format pass to interface_quda.cpp, standardizing code style without altering functionality and enhancing maintainability. Demonstrated skills in C++ development, code refactoring, and documentation within the context of high-performance computing and Lattice QCD. The work focused on extending simulation flexibility while ensuring code quality and clear technical communication throughout the project.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
77
Activity Months1
Your Network
23 peopleShared Repositories
23
Anthony GrebeMember
Balint JooMember
Damon McDougallMember
cpviolatorMember
Evan WeinbergMember
Ferenc PittlerMember
Roman GruberMember
Hannes VogtMember
jakurzakMember
Work History
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for lattice/quda focusing on expanding simulation capabilities and code quality. Key features delivered include multi-spinor support in performGFlowQuda, enabling an array of spinor fields and updated API signatures with documentation for nSpinors. Major code quality improvements include a comprehensive clang-format pass for interface_quda.cpp with no functional changes, plus targeted documentation updates for nSpinors. Overall impact: extended simulation flexibility, improved code maintainability, and clearer onboarding through documentation. Technologies/skills demonstrated: C++, API design and refactoring, automated formatting with clang-format, and documentation practices.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for lattice/quda focusing on expanding simulation capabilities and code quality. Key features delivered include multi-spinor support in performGFlowQuda, enabling an array of spinor fields and updated API signatures with documentation for nSpinors. Major code quality improvements include a comprehensive clang-format pass for interface_quda.cpp with no functional changes, plus targeted documentation updates for nSpinors. Overall impact: extended simulation flexibility, improved code maintainability, and clearer onboarding through documentation. Technologies/skills demonstrated: C++, API design and refactoring, automated formatting with clang-format, and documentation practices.
March 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture96.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ DevelopmentCode FormattingCode RefactoringDocumentationHigh-Performance ComputingLattice QCD
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