glotzerlab/hoomd-blue
Nov 2024 – Jan 2025
3 Months active
Languages Used
C++CUDAPython
Technical Skills
Build SystemsC++CUDAData StructuresDomain DecompositionGPU Computing
Michael Howard
PROFILE
Michael Howard
Matthew Howard contributed to the glotzerlab/hoomd-blue repository by developing and refining GPU-accelerated features for molecular dynamics simulations, with a focus on MPCD algorithms. He implemented CUDA-based kernels to enable efficient parallel processing of particle data, improved simulation geometry flexibility, and enhanced data fidelity through new data structures. His work included refactoring Thrust-based sorting into dedicated GPU source files, which improved code organization and long-term maintainability. Using C++, CUDA, and MPI, Matthew addressed build reliability, resource management, and cross-platform compatibility. His engineering demonstrated depth in scientific computing, balancing performance optimization with maintainable design and robust, scalable simulation infrastructure.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
3,675
Activity Months3
Your Network
84 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 focusing on key accomplishments in the glotzerlab/hoomd-blue repository. The primary deliverable for this month was a refactor of Thrust-based sorting to the GPU source file, improving code organization, build reliability, and future maintainability while preserving existing functionality for particle momentum sorting.
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 focusing on key accomplishments in the glotzerlab/hoomd-blue repository. The primary deliverable for this month was a refactor of Thrust-based sorting to the GPU source file, improving code organization, build reliability, and future maintainability while preserving existing functionality for particle momentum sorting.
January 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for glotzerlab/hoomd-blue focusing on delivering GPU-accelerated simulation capabilities and a key reliability improvement. The work emphasizes business value through performance, scalability, and code health improvements.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for glotzerlab/hoomd-blue focusing on delivering GPU-accelerated simulation capabilities and a key reliability improvement. The work emphasizes business value through performance, scalability, and code health improvements.
November 2024
6 Commits • 2 Features
Nov 1, 2024Delivered two MPCD-focused features in glotzerlab/hoomd-blue during 2024-11: MPCD Snapshot Enhancements and Triclinic Box Support; MPI and MPCD Internal Infrastructure Upgrades. Fixed non-MPI build issues, destructor cleanup, and autotuner chaining. Impact: improved data fidelity, geometry flexibility, performance, and maintainability. Technologies/skills: MPI patterns, advanced data structures, GPU autotuning, cross-build compatibility.
6 Commits • 2 Features
Nov 1, 2024Delivered two MPCD-focused features in glotzerlab/hoomd-blue during 2024-11: MPCD Snapshot Enhancements and Triclinic Box Support; MPI and MPCD Internal Infrastructure Upgrades. Fixed non-MPI build issues, destructor cleanup, and autotuner chaining. Impact: improved data fidelity, geometry flexibility, performance, and maintainability. Technologies/skills: MPI patterns, advanced data structures, GPU autotuning, cross-build compatibility.
November 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability91.0%
Architecture90.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CUDAPython
Technical Skills
Build SystemsC++CUDAData StructuresDomain DecompositionGPU ComputingMPCDMPIMolecular DynamicsObject-Oriented DesignParallel ComputingPythonResource ManagementScientific ComputingScientific Simulation
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