LLNL/sundials
Oct 2024 – Apr 2026
8 Months active
Languages Used
CC++CMakeLaTeXMarkdownPythonreStructuredTextFortran
Technical Skills
API developmentC programmingbug fixingBuild System ConfigurationCC++
Daniel R. Reynolds
PROFILE
Daniel R. Reynolds
Contributed to the LLNL/sundials repository by developing and refining solver modules, focusing on adaptive time-stepping, command-line configurability, and robust API design. Enhanced ARKODE with features such as user-defined pre/post time-step functions, centralized validation logic, and adaptive multi-rate integration methods, while optimizing memory management and lifecycle routines for stability and efficiency. Addressed bugs in error estimation and data visualization, improving reliability across serial and parallel workflows. Leveraged C, C++, and Python to implement build system improvements, documentation updates, and technical writing, supporting reproducible experimentation and streamlined onboarding. Maintained clear commit discipline and collaborated across multiple modules and formats.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
13Total
Bugs
5
Commits
13
Features
7
Lines of code
59,877
Activity Months8
Your Network
10 peopleSame Organization
@smu.edu3
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — LLNL/sundials: Key features delivered and stability improvements with measurable business value. Highlights include ARKODE module enhancements and performance optimizations, a fix for uninitialized istage in SplittingStep, and API/lifecycle improvements enabling safer, more efficient long-running simulations. The work improves customization, stability, and efficiency for users, reduces memory copies, and strengthens the solver lifecycle before ARKodeEvolve. Demonstrates strong C++, ARKODE/LSRKStep proficiency, memory management, and collaborative integration of multiple PRs.
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — LLNL/sundials: Key features delivered and stability improvements with measurable business value. Highlights include ARKODE module enhancements and performance optimizations, a fix for uninitialized istage in SplittingStep, and API/lifecycle improvements enabling safer, more efficient long-running simulations. The work improves customization, stability, and efficiency for users, reduces memory copies, and strengthens the solver lifecycle before ARKodeEvolve. Demonstrates strong C++, ARKODE/LSRKStep proficiency, memory management, and collaborative integration of multiple PRs.
April 2026
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | LLNL/sundials: Focused on documentation and developer workflow improvements. Key changes include updating the development checklist to recommend using a Debug build for new code to surface errors before optimization and standardizing ARKode capitalization to ARKODE across documentation. Implemented via two commits: 297b23d34c0bf7bab88dc2fd2d0ed0194d306da6 ("Docs: Note use Debug build for development (#781)") and 224b19bda02f44621f6357b93898275b1ae77adc ("Docs: arkode all caps (#782)"). No major bugs fixed this month for this repository. Overall impact: enhanced developer feedback loop, reduced risk of undetected errors, and improved docs consistency, supporting faster onboarding and contributor collaboration. Technologies/skills: documentation standards, feature/bug hygiene, commit discipline, static error checking, naming conventions.
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | LLNL/sundials: Focused on documentation and developer workflow improvements. Key changes include updating the development checklist to recommend using a Debug build for new code to surface errors before optimization and standardizing ARKode capitalization to ARKODE across documentation. Implemented via two commits: 297b23d34c0bf7bab88dc2fd2d0ed0194d306da6 ("Docs: Note use Debug build for development (#781)") and 224b19bda02f44621f6357b93898275b1ae77adc ("Docs: arkode all caps (#782)"). No major bugs fixed this month for this repository. Overall impact: enhanced developer feedback loop, reduced risk of undetected errors, and improved docs consistency, supporting faster onboarding and contributor collaboration. Technologies/skills: documentation standards, feature/bug hygiene, commit discipline, static error checking, naming conventions.
September 2025
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for LLNL/sundials: Key features delivered and significant fixes focusing on MRI-HTol adaptivity and project governance.
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for LLNL/sundials: Key features delivered and significant fixes focusing on MRI-HTol adaptivity and project governance.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on key accomplishments and business value in the LLNL/sundials repository. The month centered on delivering a high-impact feature that enhances configurability and experiment throughput across solver modules.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on key accomplishments and business value in the LLNL/sundials repository. The month centered on delivering a high-impact feature that enhances configurability and experiment throughput across solver modules.
February 2025
1 Commits
Feb 1, 2025February 2025: In LLNL/sundials, focused on robustness of data visualization tooling. Key deliverable: fixed the Python plotting script by removing an erroneous data-dimension sanity check that misvalidated dimensions for both serial and parallel outputs, ensuring correct processing across configurations. This was implemented in commit e5dfac9a4af86c5480734aa8428c7c7277f00ae8. Overall, improved reliability of plots and reduced downstream debugging, delivering business value by ensuring accurate data representation across output configurations. Technologies demonstrated include Python scripting, debugging, and Git workflows, with attention to cross-config validation.
1 Commits
Feb 1, 2025February 2025: In LLNL/sundials, focused on robustness of data visualization tooling. Key deliverable: fixed the Python plotting script by removing an erroneous data-dimension sanity check that misvalidated dimensions for both serial and parallel outputs, ensuring correct processing across configurations. This was implemented in commit e5dfac9a4af86c5480734aa8428c7c7277f00ae8. Overall, improved reliability of plots and reduced downstream debugging, delivering business value by ensuring accurate data representation across output configurations. Technologies demonstrated include Python scripting, debugging, and Git workflows, with attention to cross-config validation.
February 2025
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for LLNL/sundials (ARKODE): Key features delivered include contributor attribution documentation updates across README.md, the ARKODE guide (Landing.rst, conf.py), and LaTeX/texinfo cover pages recognizing Mustafa Aggul as a contributor for the ARKODE LSRKStep module, and a refactor to centralize N_Vector validation checks within ARKODE to improve validation clarity and maintainability. No major bugs were reported this month. Overall impact: enhanced contributor recognition, streamlined validation logic, and improved codebase maintainability, contributing to faster feature delivery and reduced risk in future ARKODE changes. Technologies demonstrated: multi-format documentation (Markdown, reStructuredText, LaTeX/texinfo), git-based collaboration, refactoring, and N_Vector API understanding.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for LLNL/sundials (ARKODE): Key features delivered include contributor attribution documentation updates across README.md, the ARKODE guide (Landing.rst, conf.py), and LaTeX/texinfo cover pages recognizing Mustafa Aggul as a contributor for the ARKODE LSRKStep module, and a refactor to centralize N_Vector validation checks within ARKODE to improve validation clarity and maintainability. No major bugs were reported this month. Overall impact: enhanced contributor recognition, streamlined validation logic, and improved codebase maintainability, contributing to faster feature delivery and reduced risk in future ARKODE changes. Technologies demonstrated: multi-format documentation (Markdown, reStructuredText, LaTeX/texinfo), git-based collaboration, refactoring, and N_Vector API understanding.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for LLNL/sundials focused on reliability improvements and solver capability expansion. Delivered explicit configuration feedback to prevent build-time failures and expanded adaptive MRI capabilities within ARKODE, strengthening both developer experience and modeling versatility. Outcomes include clearer error messaging for CUDA/extended precision incompatibilities and adaptive multi-rate MRI methods (MRI-GARK, MRI-SR, MERK) with validation tests.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for LLNL/sundials focused on reliability improvements and solver capability expansion. Delivered explicit configuration feedback to prevent build-time failures and expanded adaptive MRI capabilities within ARKODE, strengthening both developer experience and modeling versatility. Outcomes include clearer error messaging for CUDA/extended precision incompatibilities and adaptive multi-rate MRI methods (MRI-GARK, MRI-SR, MERK) with validation tests.
December 2024
October 2024
1 Commits
Oct 1, 2024October 2024 Monthly Summary for LLNL/sundials work focusing on key accomplishments. This month centered on refining API usability by addressing deprecation messaging in the ARKODE interface, delivering a focused bug fix that clarifies replacement functions for users.
October 2024
1 Commits
Oct 1, 2024October 2024 Monthly Summary for LLNL/sundials work focusing on key accomplishments. This month centered on refining API usability by addressing deprecation messaging in the ARKODE interface, delivering a focused bug fix that clarifies replacement functions for users.
Activity
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Quality Metrics
Correctness94.6%
Maintainability93.8%
Architecture92.4%
Performance87.6%
AI Usage21.6%
Skills & Technologies
Programming Languages
CC++CMakeCUDAFortranHIPLaTeXMakefileMarkdownPython
Technical Skills
API DesignAPI developmentAdaptive Time SteppingAuthorship UpdatesBug FixingBuild System ConfigurationCC ProgrammingC programmingC++C++ developmentC/C++ DevelopmentCode RefactoringCommand-Line Interface DevelopmentConfiguration Management
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