lattice/quda
Nov 2024 – Oct 2025
12 Months active
Languages Used
C++CMakeCUDAGit IgnoreCFortrancmake
Technical Skills
Algorithm DesignBuild SystemBuild SystemsC++C++ DevelopmentC++ development
maddyscientist
PROFILE
Maddyscientist
Michael Clark developed and maintained high-performance solvers and simulation infrastructure in the lattice/quda repository, focusing on GPU-accelerated scientific computing. Over twelve months, he engineered robust CUDA and C++ code to optimize kernel performance, memory management, and build system reliability, addressing both algorithmic efficiency and cross-platform compatibility. His work included refactoring vectorization paths, modernizing memory APIs, and implementing autotuning for shared memory and kernel occupancy. By resolving complex bugs in numerical routines and operator overloading, Michael improved simulation correctness and stability. His contributions demonstrated deep expertise in CUDA programming, C++ template metaprogramming, and scalable software engineering for scientific applications.
Overall Statistics
Feature vs Bugs
46%Features
Repository Contributions
251Total
Bugs
82
Commits
251
Features
69
Lines of code
15,809
Activity Months12
Your Network
1363 people
Work History
October 2025
1 Commits
Oct 1, 2025October 2025: Delivered a critical correctness improvement in QUDA scalar arithmetic for lattice/quda. Fixed complex number addition and subtraction to properly handle scalar operands, eliminating incorrect results caused by using a helper add2 with a scalar-constructed complex number. This change strengthens numerical accuracy in simulations and reduces downstream debugging. The fix is tracked in commit a80cbe681b3a71ac111d32350e6b2dec453bae63, addressing issue #1548 and aligning with codebase operator-overload conventions. Technologies demonstrated include C++ operator overloading, robust edge-case handling, and clear change traceability through commit messages.
1 Commits
Oct 1, 2025October 2025: Delivered a critical correctness improvement in QUDA scalar arithmetic for lattice/quda. Fixed complex number addition and subtraction to properly handle scalar operands, eliminating incorrect results caused by using a helper add2 with a scalar-constructed complex number. This change strengthens numerical accuracy in simulations and reduces downstream debugging. The fix is tracked in commit a80cbe681b3a71ac111d32350e6b2dec453bae63, addressing issue #1548 and aligning with codebase operator-overload conventions. Technologies demonstrated include C++ operator overloading, robust edge-case handling, and clear change traceability through commit messages.
October 2025
September 2025
13 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for lattice/quda focused on stabilizing builds, accelerating autotuning, and delivering architecture-aware GPU optimizations. Key improvements include code quality and build hygiene across the codebase, a major overhaul of shared memory tuning with centralized logic and architecture checks, and occupancy-aware performance enhancements via new APIs and autotuning tweaks. In addition, autotuning performance was boosted to reduce tuning time by 2-4x for kernels using shared memory throttling. Also addressed CUDA/CUB compatibility with CUDA 13 and fixed a Clover vector order bug for N=8. These changes collectively improve development velocity, runtime stability, and cross-platform performance.
September 2025
13 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for lattice/quda focused on stabilizing builds, accelerating autotuning, and delivering architecture-aware GPU optimizations. Key improvements include code quality and build hygiene across the codebase, a major overhaul of shared memory tuning with centralized logic and architecture checks, and occupancy-aware performance enhancements via new APIs and autotuning tweaks. In addition, autotuning performance was boosted to reduce tuning time by 2-4x for kernels using shared memory throttling. Also addressed CUDA/CUB compatibility with CUDA 13 and fixed a Clover vector order bug for N=8. These changes collectively improve development velocity, runtime stability, and cross-platform performance.
August 2025
29 Commits • 9 Features
Aug 1, 2025August 2025 highlights for lattice/quda: Delivered configurable shared memory carve-out tuning with QUDA_TUNING_SHARED_CARVE_OUT, including tuneKey encoding and support for non-dslash kernels; hardened CUDA kernel path with cudaLaunchKernelEx for CUDA 12.5+ and degeneracy-avoidance by encoding comms grid in dslash uber kernels; vectorization and performance improvements with enhanced reporting, default 256-bit vector ordering on Blackwell+ and CUDA 12.9+, and a unified get_vector_order interface (CUDA>=13 uses double4_32a); build, CI, and code quality enhancements including ccmake integration, QUDA_ALTERNATIVE_I_TO_F validation, movement of QUDA_ORDER checks to CMake, and new options like QUDA_FLUSH_DENORMALS, plus helper functions for driver/runtime version; plus targeted bug fixes such as robust handling of shared carve-out strings and relevant CUDA vectorization target restrictions. These changes deliver measurable performance gains, increased tuning flexibility, and improved maintainability across CUDA toolchains.
29 Commits • 9 Features
Aug 1, 2025August 2025 highlights for lattice/quda: Delivered configurable shared memory carve-out tuning with QUDA_TUNING_SHARED_CARVE_OUT, including tuneKey encoding and support for non-dslash kernels; hardened CUDA kernel path with cudaLaunchKernelEx for CUDA 12.5+ and degeneracy-avoidance by encoding comms grid in dslash uber kernels; vectorization and performance improvements with enhanced reporting, default 256-bit vector ordering on Blackwell+ and CUDA 12.9+, and a unified get_vector_order interface (CUDA>=13 uses double4_32a); build, CI, and code quality enhancements including ccmake integration, QUDA_ALTERNATIVE_I_TO_F validation, movement of QUDA_ORDER checks to CMake, and new options like QUDA_FLUSH_DENORMALS, plus helper functions for driver/runtime version; plus targeted bug fixes such as robust handling of shared carve-out strings and relevant CUDA vectorization target restrictions. These changes deliver measurable performance gains, increased tuning flexibility, and improved maintainability across CUDA toolchains.
August 2025
July 2025
12 Commits • 4 Features
Jul 1, 2025July 2025: Lattice/quda delivered key CUDA toolchain compatibility, memory API modernization, cross-compiler build stability improvements, and expanded GPU architecture support. The work enhances portability, reliability, and ease of maintenance across CUDA versions 12.x–13.x, reduces deprecation-related risks, and broadens hardware coverage, while addressing a CPU memory space device ID bug.
July 2025
12 Commits • 4 Features
Jul 1, 2025July 2025: Lattice/quda delivered key CUDA toolchain compatibility, memory API modernization, cross-compiler build stability improvements, and expanded GPU architecture support. The work enhances portability, reliability, and ease of maintenance across CUDA versions 12.x–13.x, reduces deprecation-related risks, and broadens hardware coverage, while addressing a CPU memory space device ID bug.
June 2025
43 Commits • 9 Features
Jun 1, 2025June 2025 monthly summary: Delivered a mix of configurability, memory-safety improvements, and build/toolchain robustness in lattice/quda, driving business value through greater flexibility, stability, and maintainability. Key features and stability work laid groundwork for more scalable numerical solvers and easier future enhancements.
43 Commits • 9 Features
Jun 1, 2025June 2025 monthly summary: Delivered a mix of configurability, memory-safety improvements, and build/toolchain robustness in lattice/quda, driving business value through greater flexibility, stability, and maintainability. Key features and stability work laid groundwork for more scalable numerical solvers and easier future enhancements.
June 2025
May 2025
37 Commits • 13 Features
May 1, 2025May 2025 performance-focused sprint for lattice/quda. Delivered major GPU kernel improvements, stability fixes, and code quality enhancements across the QUDA Dslash path and supporting components. The work enabled higher throughput on large-scale lattice workloads, improved reliability on older toolchains, and strengthened testing and maintenance practices.
May 2025
37 Commits • 13 Features
May 1, 2025May 2025 performance-focused sprint for lattice/quda. Delivered major GPU kernel improvements, stability fixes, and code quality enhancements across the QUDA Dslash path and supporting components. The work enabled higher throughput on large-scale lattice workloads, improved reliability on older toolchains, and strengthened testing and maintenance practices.
April 2025
20 Commits • 6 Features
Apr 1, 2025April 2025 monthly summary for lattice/quda. Focused on strengthening build reliability, GPU optimization, and maintainability. Delivered NVSHMEM integration improvements, CUDA compute capability compatibility, and robust tuning/ordering support, reducing build crashes, widening hardware support, and safeguarding tunecache usage. Completed targeted bug fixes in Dslash logic and BLAS paths, and introduced code style and refactor improvements to improve long-term maintainability and developer velocity.
20 Commits • 6 Features
Apr 1, 2025April 2025 monthly summary for lattice/quda. Focused on strengthening build reliability, GPU optimization, and maintainability. Delivered NVSHMEM integration improvements, CUDA compute capability compatibility, and robust tuning/ordering support, reducing build crashes, widening hardware support, and safeguarding tunecache usage. Completed targeted bug fixes in Dslash logic and BLAS paths, and introduced code style and refactor improvements to improve long-term maintainability and developer velocity.
April 2025
March 2025
16 Commits • 1 Features
Mar 1, 2025March 2025 (lattice/quda): Delivered runtime- and test-stability improvements alongside fundamental vectorization enhancements to improve throughput, scalability, and reliability on distributed HPC systems. Key features delivered and bugs fixed were achieved through targeted refactors, test tuning, and build-time configurability, enabling stronger business value in solver performance and CI robustness.
March 2025
16 Commits • 1 Features
Mar 1, 2025March 2025 (lattice/quda): Delivered runtime- and test-stability improvements alongside fundamental vectorization enhancements to improve throughput, scalability, and reliability on distributed HPC systems. Key features delivered and bugs fixed were achieved through targeted refactors, test tuning, and build-time configurability, enabling stronger business value in solver performance and CI robustness.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for lattice/quda. This period focused on strengthening the multigrid solver's robustness and efficiency, improving memory usage, and ensuring accuracy across mixed-precision workflows. Work delivered enhances solver reliability for edge cases, reduces runtime allocations, and supports vectorized field handling, contributing to more scalable and trustworthy simulations.
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for lattice/quda. This period focused on strengthening the multigrid solver's robustness and efficiency, improving memory usage, and ensuring accuracy across mixed-precision workflows. Work delivered enhances solver reliability for edge cases, reduces runtime allocations, and supports vectorized field handling, contributing to more scalable and trustworthy simulations.
February 2025
January 2025
13 Commits • 3 Features
Jan 1, 2025January 2025 (2025-01) produced a focused set of memory management, multigrid experimentation, and solver robustness improvements for lattice/quda, delivering tangible performance and reliability gains across computation, communication, and build environments. Key features were implemented with clear business value for scalable simulations and faster iteration cycles, while core bugs were fixed to improve stability and cross-compiler compatibility.
January 2025
13 Commits • 3 Features
Jan 1, 2025January 2025 (2025-01) produced a focused set of memory management, multigrid experimentation, and solver robustness improvements for lattice/quda, delivering tangible performance and reliability gains across computation, communication, and build environments. Key features were implemented with clear business value for scalable simulations and faster iteration cycles, while core bugs were fixed to improve stability and cross-compiler compatibility.
December 2024
16 Commits • 3 Features
Dec 1, 2024December 2024 focused on performance, reliability, and scalability improvements for lattice/quda. The work delivered kernel-level optimizations, stronger stability in tests and simulations, and improved communication handling to support large-scale deployments. The result is faster simulations, more reliable inversions, and better memory accounting, contributing to overall project robustness and business value.
16 Commits • 3 Features
Dec 1, 2024December 2024 focused on performance, reliability, and scalability improvements for lattice/quda. The work delivered kernel-level optimizations, stronger stability in tests and simulations, and improved communication handling to support large-scale deployments. The result is faster simulations, more reliable inversions, and better memory accounting, contributing to overall project robustness and business value.
December 2024
November 2024
44 Commits • 15 Features
Nov 1, 2024November 2024 was marked by strong reliability, code quality, and test stability improvements across the QUDA Dslash and Laplace solver stack for lattice/quda. The team delivered critical bug fixes that fixed long-standing test/fermion behavior issues, reduced redundant builds, and hardened CI/tests for deterministic results across sub-grids. In addition, several targeted features and refactors improved maintainability and testability, supported by broader formatting and documentation improvements to raise code readability and onboarding velocity. Cross-cutting enhancements in compiler portability and performance hygiene reduced future integration risk and enabled smoother multi-GPU and cross-compiler runs.
November 2024
44 Commits • 15 Features
Nov 1, 2024November 2024 was marked by strong reliability, code quality, and test stability improvements across the QUDA Dslash and Laplace solver stack for lattice/quda. The team delivered critical bug fixes that fixed long-standing test/fermion behavior issues, reduced redundant builds, and hardened CI/tests for deterministic results across sub-grids. In addition, several targeted features and refactors improved maintainability and testability, supported by broader formatting and documentation improvements to raise code readability and onboarding velocity. Cross-cutting enhancements in compiler portability and performance hygiene reduced future integration risk and enabled smoother multi-GPU and cross-compiler runs.
Activity
Loading activity data...
Quality Metrics
Correctness91.0%
Maintainability90.6%
Architecture87.2%
Performance84.8%
AI Usage20.4%
Skills & Technologies
Programming Languages
CC++CMakeCUDAFortranGit Ignorecmake
Technical Skills
API Deprecation HandlingAPI DevelopmentAPI IntegrationAlgorithm DesignArray manipulationAssemblyBuffer ManagementBug FixingBuild SystemBuild System ConfigurationBuild System ManagementBuild SystemsC ProgrammingC++C++ Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline