amrvac/AGILE-experimental
Feb 2025 – Feb 2025
1 Month active
Languages Used
Fortran
Technical Skills
Code RefactoringCode ReversionComputational PhysicsFortran DevelopmentNumerical Methods
Hector Olivares
PROFILE
Hector Olivares
Holivares focused on stabilizing and optimizing adaptive mesh refinement and hydrodynamics workflows in the amrvac/AGILE-experimental repository. They reverted recent experimental changes to the AMR error calculation and HD physics modules, restoring a reliable baseline for further development. Using Fortran and leveraging skills in code refactoring and numerical methods, Holivares updated validation tests to exercise alternative flux schemes and limiters, ensuring robustness under new configurations. They also modified the HD physics code by removing the 'pure' keyword from key subroutines, improving compiler compatibility and parallelization potential. The work demonstrated careful attention to stability, maintainability, and future performance improvements.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
254
Activity Months1
Your Network
48 peopleSame Organization
@science.ru.nl1
Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary for the amrvac/AGILE-experimental repository. Focused on stabilizing AMR/HD physics workflows and laying groundwork for performance enhancements. Reverted problematic experimental changes to the AMR error calculation and HD physics module, and initiated a targeted optimization of the HD physics code path with compiler-friendly adjustments. Updated validation tests to exercise alternate flux schemes and limiters, ensuring robustness under new configurations.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary for the amrvac/AGILE-experimental repository. Focused on stabilizing AMR/HD physics workflows and laying groundwork for performance enhancements. Reverted problematic experimental changes to the AMR error calculation and HD physics module, and initiated a targeted optimization of the HD physics code path with compiler-friendly adjustments. Updated validation tests to exercise alternate flux schemes and limiters, ensuring robustness under new configurations.
February 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
Code RefactoringCode ReversionComputational PhysicsFortran DevelopmentNumerical Methods
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