lattice/quda
Dec 2024 – Jun 2026
8 Months active
Languages Used
C++CCUDAMarkdown
Technical Skills
C++ DevelopmentHigh-Performance ComputingLinear Algebra LibrariesNumerical Linear AlgebraNumerical MethodsBackward Compatibility
leonhostetler
PROFILE
Leonhostetler
Over an eight-month period, contributed to the lattice/quda repository by developing and refining high-performance computing features for lattice QCD simulations. Work included implementing MILC-compatible deflation and eigensolver interfaces, enhancing gauge field I/O, and generalizing Wilson flow algorithms with support for anisotropic smearing and advanced integrators. Applied C++ and CUDA to optimize numerical methods, improve code maintainability, and align outputs with MILC standards. Introduced CI/CD workflows and standardized formatting using clang-format and CMake, ensuring reproducible builds and consistent code quality. Addressed precision handling, error reporting, and device-side accumulation, resulting in more reliable, accurate, and maintainable scientific software for quantum simulations.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
51Total
Bugs
3
Commits
51
Features
13
Lines of code
269,576
Activity Months8
Your Network
23 peopleShared Repositories
23
Anthony GrebeMember
Aniket SenMember
Balint JooMember
Damon McDougallMember
cpviolatorMember
Evan WeinbergMember
Ferenc PittlerMember
Roman GruberMember
Hannes VogtMember
Work History
June 2026
8 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for lattice/quda: Delivered a strong baseline for reliability, reproducibility, and performance. Key work spanned CI/CD and code quality improvements, precision alignment across deflation space and the eigensolver, and enhanced exact current handling with mixed-precision support and device-side accumulation. These efforts improved build reproducibility, error reporting, GPU utilization, and cross-team interoperability between MILC and QUDA, delivering tangible business value in stability, performance, and maintainability.
8 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for lattice/quda: Delivered a strong baseline for reliability, reproducibility, and performance. Key work spanned CI/CD and code quality improvements, precision alignment across deflation space and the eigensolver, and enhanced exact current handling with mixed-precision support and device-side accumulation. These efforts improved build reproducibility, error reporting, GPU utilization, and cross-team interoperability between MILC and QUDA, delivering tangible business value in stability, performance, and maintainability.
June 2026
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for lattice/quda: Delivered a focused refactor of the ShiftQuda function to unify shift-type handling, improving readability and robustness of error reporting across related code paths (including QUDA_SMEARED_LINKS). Implemented consistent formatting and layout changes to support safer future refactors.
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for lattice/quda: Delivered a focused refactor of the ShiftQuda function to unify shift-type handling, improving readability and robustness of error reporting across related code paths (including QUDA_SMEARED_LINKS). Implemented consistent formatting and layout changes to support safer future refactors.
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 (2025-12) monthly summary: Delivered gauge I/O improvements in lattice/quda and fixed gauge-parameter precision handling, enhancing reliability, accuracy, and maintainability of QUDA gauge simulations. The work improves gauge field persistence, reduces IO-related failures in long-running runs, and ensures consistent gauge parameter precision across CUDA and CPU paths, enabling reproducible physics results and faster iteration for researchers. Business value is increased through more reliable simulations, reduced maintenance overhead, and clearer traceability for experiments.
4 Commits • 1 Features
Dec 1, 2025December 2025 (2025-12) monthly summary: Delivered gauge I/O improvements in lattice/quda and fixed gauge-parameter precision handling, enhancing reliability, accuracy, and maintainability of QUDA gauge simulations. The work improves gauge field persistence, reduces IO-related failures in long-running runs, and ensures consistent gauge parameter precision across CUDA and CPU paths, enabling reproducible physics results and faster iteration for researchers. Business value is increased through more reliable simulations, reduced maintenance overhead, and clearer traceability for experiments.
December 2025
April 2025
19 Commits • 4 Features
Apr 1, 2025Concise monthly summary for lattice/quda - April 2025 focused on feature delivery, performance, and maintainability to advance simulation accuracy and developer productivity.
April 2025
19 Commits • 4 Features
Apr 1, 2025Concise monthly summary for lattice/quda - April 2025 focused on feature delivery, performance, and maintainability to advance simulation accuracy and developer productivity.
March 2025
4 Commits • 2 Features
Mar 1, 20252025-03 performance summary for lattice/quda: Delivered MILC-compatible Wilson flow enhancements, a high-precision 6-step fourth-order integrator, and a critical tracelessness correction in F[i] calculations to align with MILC charge definitions. These changes improve cross-validation with MILC data, increase the accuracy of gauge-field evolution, and strengthen numerical correctness across simulations. Tech stack leveraged includes C++, CUDA kernels, and numerical integration patterns; changes are tracked with clear commits for traceability and review.
4 Commits • 2 Features
Mar 1, 20252025-03 performance summary for lattice/quda: Delivered MILC-compatible Wilson flow enhancements, a high-precision 6-step fourth-order integrator, and a critical tracelessness correction in F[i] calculations to align with MILC charge definitions. These changes improve cross-validation with MILC data, increase the accuracy of gauge-field evolution, and strengthen numerical correctness across simulations. Tech stack leveraged includes C++, CUDA kernels, and numerical integration patterns; changes are tracked with clear commits for traceability and review.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for lattice/quda: Delivered a comprehensive codebase formatting cleanup using clang-format. No functional changes were introduced; the formatting pass standardizes style, improves readability, reduces merge conflicts, and lays groundwork for automated formatting checks in CI. Commit: 89482c5d524b13b98bb92dc6386d76d38d6cd059.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for lattice/quda: Delivered a comprehensive codebase formatting cleanup using clang-format. No functional changes were introduced; the formatting pass standardizes style, improves readability, reduces merge conflicts, and lays groundwork for automated formatting checks in CI. Commit: 89482c5d524b13b98bb92dc6386d76d38d6cd059.
January 2025
9 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for lattice/quda: Delivered backward-compatible QUDA MILC deflated eigensolver interface enhancements, improved parameterization, and stabilized initialization across modules. Implemented interface restructuring, extended QudaEigensolverArgs_t, parity handling for deflation, and ensured precision/struct_size compatibility. Centralized initialization state management and moved deflation_init to global scope to guarantee consistency. Result: easier adoption of deflated eigensolvers for MILC, with reduced integration risk and clearer APIs.
9 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for lattice/quda: Delivered backward-compatible QUDA MILC deflated eigensolver interface enhancements, improved parameterization, and stabilized initialization across modules. Implemented interface restructuring, extended QudaEigensolverArgs_t, parity handling for deflation, and ensured precision/struct_size compatibility. Centralized initialization state management and moved deflation_init to global scope to guarantee consistency. Result: easier adoption of deflated eigensolvers for MILC, with reduced integration risk and clearer APIs.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12 highlighting MILC deflation feature delivery and associated improvements in lattice/quda. The work focuses on extending solver robustness and performance for MILC workloads by integrating deflation into even-parity and Msrc solves, with careful preservation across solves and parity-based activation.
December 2024
2 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12 highlighting MILC deflation feature delivery and associated improvements in lattice/quda. The work focuses on extending solver robustness and performance for MILC workloads by integrating deflation into even-parity and Msrc solves, with careful preservation across solves and parity-based activation.
Activity
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Quality Metrics
Correctness92.2%
Maintainability89.6%
Architecture88.0%
Performance81.2%
AI Usage27.4%
Skills & Technologies
Programming Languages
CC++CUDAMarkdown
Technical Skills
Backward CompatibilityBuild ToolsC DevelopmentC++C++ DevelopmentC++ Standard LibraryC++ developmentCI/CDCMakeCUDACUDA ProgrammingCUDA programmingClang-formatCode CleanupCode Formatting
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