idaholab/moose
Nov 2024 – Apr 2026
15 Months active
Languages Used
C++N/ACCUDAKOKKOSMakefilePythonK
Technical Skills
Performance TuningC++CI/CDObject-Oriented ProgrammingSoftware DesignTesting
Namjae Choi
PROFILE
Namjae Choi
Over 15 months, contributed to the idaholab/moose repository by engineering scalable, high-performance simulation infrastructure with a focus on GPU acceleration and parallel computing. Leveraging C++, Kokkos, and CUDA, developed and refactored core frameworks for mesh processing, material property management, and boundary condition implementation. Enhanced the codebase with modular APIs, robust memory management, and improved test coverage, enabling reliable, portable simulations across diverse hardware. Addressed performance bottlenecks and stability issues through algorithm optimization and build system improvements. The work established a maintainable foundation for future development, supporting advanced engineering workflows and accelerating simulation throughput for high-performance computing environments.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
250Total
Bugs
31
Commits
250
Features
66
Lines of code
88,250
Activity Months15
Your Network
204 peopleSame Organization
@inl.gov58
Bradley HuddlestonMember
BrettMember
Derek VranesMember
Butterworth, EvanMember
Gabriel J. SotoMember
Jason M MillerMember
Joseph CoronaVazquezMember
Kevin HarwoodMember
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Shared Repositories
146
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Alex LindsayMember
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Aaron OaksMember
Work History
April 2026
19 Commits • 6 Features
Apr 1, 2026April 2026 performance summary for idaholab/moose focused on delivering cross-domain material property management, Kokkos-based boundary conditions and diffusion kernel enhancements, KokkosHeatConduction structural improvements, RPN builder robustness, and kernel performance optimizations. These efforts improved domain-wide consistency, accuracy, and scalability while enhancing maintainability and developer velocity across the Kokkos-related codebase.
19 Commits • 6 Features
Apr 1, 2026April 2026 performance summary for idaholab/moose focused on delivering cross-domain material property management, Kokkos-based boundary conditions and diffusion kernel enhancements, KokkosHeatConduction structural improvements, RPN builder robustness, and kernel performance optimizations. These efforts improved domain-wide consistency, accuracy, and scalability while enhancing maintainability and developer velocity across the Kokkos-related codebase.
April 2026
March 2026
28 Commits • 9 Features
Mar 1, 2026March 2026 performance and deliverables focused on elevating Kokkos backend capabilities in idaholab/moose, with targeted optimizations, robustness improvements, and expanded testing. The work enabled more scalable HPC execution, better modeling flexibility, and stronger release reliability across subdomains and backends.
March 2026
28 Commits • 9 Features
Mar 1, 2026March 2026 performance and deliverables focused on elevating Kokkos backend capabilities in idaholab/moose, with targeted optimizations, robustness improvements, and expanded testing. The work enabled more scalable HPC execution, better modeling flexibility, and stronger release reliability across subdomains and backends.
February 2026
27 Commits • 4 Features
Feb 1, 2026February 2026: Delivered substantive Kokkos-based enhancements in idaholab/moose, expanded material-property support, added eigenvalue capabilities, and introduced infrastructure improvements, with targeted bug fixes and documentation to boost portability, performance, and CI reliability.
27 Commits • 4 Features
Feb 1, 2026February 2026: Delivered substantive Kokkos-based enhancements in idaholab/moose, expanded material-property support, added eigenvalue capabilities, and introduced infrastructure improvements, with targeted bug fixes and documentation to boost portability, performance, and CI reliability.
February 2026
January 2026
9 Commits • 4 Features
Jan 1, 2026January 2026 monthly performance summary for idaholab/moose. Delivered a set of Kokkos-focused improvements that enhance performance, reliability, and developer productivity, with clear business value in HPC simulations and in-Kokkos expression capabilities. Key investments in code quality, memory management, and GPU-enabled features laid groundwork for robust, scalable workloads.
January 2026
9 Commits • 4 Features
Jan 1, 2026January 2026 monthly performance summary for idaholab/moose. Delivered a set of Kokkos-focused improvements that enhance performance, reliability, and developer productivity, with clear business value in HPC simulations and in-Kokkos expression capabilities. Key investments in code quality, memory management, and GPU-enabled features laid groundwork for robust, scalable workloads.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for idaholab/moose. Focused on strengthening parallel processing capabilities with Kokkos and delivering a critical bug fix. Key features delivered: base classes for Kokkos user objects to enhance MOOSE parallelism. Major bugs fixed: correct alias for Moose Kokkos::PostprocessrValue to reflect type as const PostprocessorValue and improved readability in Base class formatting. Overall impact: improves parallel performance, type safety, and code maintainability; establishes groundwork for future Kokkos integrations and easier contributor onboarding. Technologies/skills demonstrated: C++, Kokkos, object-oriented design for extensible parallel primitives, code readability, and documentation practices. Business value: enhances scalability of parallel workloads and maintains a cleaner, more maintainable codebase.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for idaholab/moose. Focused on strengthening parallel processing capabilities with Kokkos and delivering a critical bug fix. Key features delivered: base classes for Kokkos user objects to enhance MOOSE parallelism. Major bugs fixed: correct alias for Moose Kokkos::PostprocessrValue to reflect type as const PostprocessorValue and improved readability in Base class formatting. Overall impact: improves parallel performance, type safety, and code maintainability; establishes groundwork for future Kokkos integrations and easier contributor onboarding. Technologies/skills demonstrated: C++, Kokkos, object-oriented design for extensible parallel primitives, code readability, and documentation practices. Business value: enhances scalability of parallel workloads and maintains a cleaner, more maintainable codebase.
December 2025
November 2025
26 Commits • 5 Features
Nov 1, 2025Monthly summary for 2025-11 (idaholab/moose) highlighting end-to-end Kokkos GPU integration, namespace consolidation, mesh update improvements, stability fixes, and build-time enhancements. Emphasizes business value through GPU-enabled workflows, improved reliability, and scalable architecture with comprehensive tests and documentation.
November 2025
26 Commits • 5 Features
Nov 1, 2025Monthly summary for 2025-11 (idaholab/moose) highlighting end-to-end Kokkos GPU integration, namespace consolidation, mesh update improvements, stability fixes, and build-time enhancements. Emphasizes business value through GPU-enabled workflows, improved reliability, and scalable architecture with comprehensive tests and documentation.
October 2025
16 Commits • 3 Features
Oct 1, 2025October 2025 focused on advancing GPU readiness and maintainability of the Kokkos-based MOOSE framework. Delivered JaggedArray core features with dynamic resizing, device-host transfers, and flattened indexing, supported by unit tests and documentation. Added BLAS-level operations for 1D Kokkos arrays (scal, axby, dot, nrm2) with tests to enable efficient accelerator computations. Completed internal Kokkos refactors and tooling improvements to API, DOF handling, and build protections, improving developer experience and long-term maintainability. These accomplishments deliver tangible business value: faster, GPU-accelerated simulations, enhanced numerical capabilities on accelerators, and a more robust, maintainable codebase for future features.
16 Commits • 3 Features
Oct 1, 2025October 2025 focused on advancing GPU readiness and maintainability of the Kokkos-based MOOSE framework. Delivered JaggedArray core features with dynamic resizing, device-host transfers, and flattened indexing, supported by unit tests and documentation. Added BLAS-level operations for 1D Kokkos arrays (scal, axby, dot, nrm2) with tests to enable efficient accelerator computations. Completed internal Kokkos refactors and tooling improvements to API, DOF handling, and build protections, improving developer experience and long-term maintainability. These accomplishments deliver tangible business value: faster, GPU-accelerated simulations, enhanced numerical capabilities on accelerators, and a more robust, maintainable codebase for future features.
October 2025
September 2025
36 Commits • 10 Features
Sep 1, 2025September 2025—idaholab/moose: Key platform improvements and QA enhancements delivered for improved portability, reliability, and developer productivity. Highlights include Kokkos core and initialization improvements, a dispatcher registry to replace CRTP, Kokkos AuxKernel framework integration with tests and documentation, module objects alignment with added tests, and a libtool-based build upgrade with expanded test coverage and QA hygiene. These changes collectively increase portability, reduce initialization risk, streamline extension, and improve build/test reliability.
September 2025
36 Commits • 10 Features
Sep 1, 2025September 2025—idaholab/moose: Key platform improvements and QA enhancements delivered for improved portability, reliability, and developer productivity. Highlights include Kokkos core and initialization improvements, a dispatcher registry to replace CRTP, Kokkos AuxKernel framework integration with tests and documentation, module objects alignment with added tests, and a libtool-based build upgrade with expanded test coverage and QA hygiene. These changes collectively increase portability, reduce initialization risk, streamline extension, and improve build/test reliability.
August 2025
17 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for idaholab/moose: Delivered GPU acceleration via Kokkos integration with a major refactor of GPU code, introduced Kokkos-specific interfaces, memory management adjustments, and performance improvements including mesh caching and optimized data structures. Implemented Kokkos-based material property system refactor using PassKey access for safer encapsulation and moved declarations to separate headers. Fixed critical stability issues (restep test, displacement/adaptivity errors) and resolved build/test regressions (example/tutorial build, old syntax). Added documentation and improved naming/structure to support long-term maintainability. Impact: enabling GPU-accelerated simulations on HPC clusters, improved throughput, safer code paths and clearer interfaces; skills demonstrated include Kokkos, C++ refactoring, memory management, and test/CI reliability.
17 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for idaholab/moose: Delivered GPU acceleration via Kokkos integration with a major refactor of GPU code, introduced Kokkos-specific interfaces, memory management adjustments, and performance improvements including mesh caching and optimized data structures. Implemented Kokkos-based material property system refactor using PassKey access for safer encapsulation and moved declarations to separate headers. Fixed critical stability issues (restep test, displacement/adaptivity errors) and resolved build/test regressions (example/tutorial build, old syntax). Added documentation and improved naming/structure to support long-term maintainability. Impact: enabling GPU-accelerated simulations on HPC clusters, improved throughput, safer code paths and clearer interfaces; skills demonstrated include Kokkos, C++ refactoring, memory management, and test/CI reliability.
August 2025
July 2025
39 Commits • 14 Features
Jul 1, 2025July 2025 highlights for idaholab/moose: delivered focused performance, portability, and reliability improvements across core libraries and build/test tooling, with strong alignment to business value for scalable simulations and developer productivity. The month emphasized API/documentation quality, performance optimization, and data-layout improvements that enable faster, more robust simulations on diverse hardware.
July 2025
39 Commits • 14 Features
Jul 1, 2025July 2025 highlights for idaholab/moose: delivered focused performance, portability, and reliability improvements across core libraries and build/test tooling, with strong alignment to business value for scalable simulations and developer productivity. The month emphasized API/documentation quality, performance optimization, and data-layout improvements that enable faster, more robust simulations on diverse hardware.
June 2025
25 Commits • 6 Features
Jun 1, 2025June 2025 performance summary for idaholab/moose GPU work focused on building a robust, portable, and verifiable GPU path. Key work included consolidating the core GPU data structures and assembly into a unified foundation, implementing and integrating GPU kernel and boundary condition infrastructure, migrating the GPU path to a Kokkos-based back-end with robust guards, and integrating GPU materials into the system. Quality and portability were enhanced through GPU tests and build infrastructure, enabling faster iteration and more reliable GPU-enabled simulations. A bug fix reduced unnecessary initialization during copy by introducing a parameterized initialize control. Overall, these efforts deliver a scalable GPU foundation, improved simulation throughput, and greater maintainability across back-ends and modules, accelerating future GPU material workflows and enabling more reliable high-performance simulations for engineering workflows.
25 Commits • 6 Features
Jun 1, 2025June 2025 performance summary for idaholab/moose GPU work focused on building a robust, portable, and verifiable GPU path. Key work included consolidating the core GPU data structures and assembly into a unified foundation, implementing and integrating GPU kernel and boundary condition infrastructure, migrating the GPU path to a Kokkos-based back-end with robust guards, and integrating GPU materials into the system. Quality and portability were enhanced through GPU tests and build infrastructure, enabling faster iteration and more reliable GPU-enabled simulations. A bug fix reduced unnecessary initialization during copy by introducing a parameterized initialize control. Overall, these efforts deliver a scalable GPU foundation, improved simulation throughput, and greater maintainability across back-ends and modules, accelerating future GPU material workflows and enabling more reliable high-performance simulations for engineering workflows.
June 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for idaholab/moose focusing on core improvements to the TransientBase API and transient execution path.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for idaholab/moose focusing on core improvements to the TransientBase API and transient execution path.
March 2025
2 Commits
Mar 1, 2025March 2025 monthly summary focusing on bug fixes that improve simulation accuracy and test reliability in idaholab/moose. Implemented strict ordering between postprocessor evaluation and auxiliary kernels, and reinforced preaux calculations in tests to ensure correct handling of initial conditions and dependencies. Result: more accurate results, reduced risk of lagged values, and better test coverage for dependency-sensitive workflows.
2 Commits
Mar 1, 2025March 2025 monthly summary focusing on bug fixes that improve simulation accuracy and test reliability in idaholab/moose. Implemented strict ordering between postprocessor evaluation and auxiliary kernels, and reinforced preaux calculations in tests to ensure correct handling of initial conditions and dependencies. Result: more accurate results, reduced risk of lagged values, and better test coverage for dependency-sensitive workflows.
March 2025
December 2024
2 Commits
Dec 1, 2024December 2024: Stability and reliability improvements for idaholab/moose. Implemented stable execution order for UserObject initialization and test runs by updating FEProblemBase.C to honor the execution_order_group and by enforcing a designated order in test configurations (issue #29362). This delivers deterministic behavior, reduces inter-object dependencies and race conditions in parallel executions, and lowers flaky-test risk. The test suite was updated to reflect the new execution model, enabling earlier detection of ordering issues and contributing to more reliable simulations.
December 2024
2 Commits
Dec 1, 2024December 2024: Stability and reliability improvements for idaholab/moose. Implemented stable execution order for UserObject initialization and test runs by updating FEProblemBase.C to honor the execution_order_group and by enforcing a designated order in test configurations (issue #29362). This delivers deterministic behavior, reduces inter-object dependencies and race conditions in parallel executions, and lowers flaky-test risk. The test suite was updated to reflect the new execution model, enabling earlier detection of ordering issues and contributing to more reliable simulations.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 performance-focused delivery: Implemented a System Throughput Enhancement in idaholab/moose to raise max QPS per element from 216 to 1000, reducing bottlenecks and enabling higher-throughput, larger-scale simulations while maintaining accuracy and stability.
1 Commits • 1 Features
Nov 1, 2024November 2024 performance-focused delivery: Implemented a System Throughput Enhancement in idaholab/moose to raise max QPS per element from 216 to 1000, reducing bottlenecks and enabling higher-throughput, larger-scale simulations while maintaining accuracy and stability.
November 2024
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Quality Metrics
Correctness91.4%
Maintainability88.0%
Architecture89.6%
Performance86.4%
AI Usage22.8%
Skills & Technologies
Programming Languages
AllCC++CUDAGit AttributesKKOKKOSKokkosMakefileMarkdown
Technical Skills
API DevelopmentAlgorithm DesignAlgorithm OptimizationAuxiliary kernel developmentBLASBoundary Condition ImplementationBoundary condition implementationBuild SystemBuild System ConfigurationBuild SystemsC++C++ BuildC++ Build ToolsC++ DevelopmentC++ Testing
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