amrvac/AGILE-experimental
Aug 2025 – Aug 2025
1 Month active
Languages Used
Fortran
Technical Skills
Computational PhysicsFortranFortran ProgrammingHigh-Performance ComputingNumerical MethodsNumerical Simulation
Rony Keppens
PROFILE
Rony Keppens
Worked on the amrvac/AGILE-experimental repository, delivering a fully hyperbolic hydrodynamics (FFHD) physics module that introduced new configuration options and Fortran source code to support hyperbolic thermal conduction and magnetic field effects. Addressed parallel computing challenges by correcting OpenACC loop private variable handling in the finite volume module, ensuring accurate cell-centered coordinate management in parallelized computations. Extended the thermal conduction model by adding non-local source support, utilizing gradient temperature information to enhance physical realism. Leveraged expertise in computational physics, Fortran, and high-performance computing to implement two new features and resolve a key bug, contributing to more robust numerical simulations.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
672
Activity Months1
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Work History
August 2025
3 Commits • 2 Features
Aug 1, 2025Concise monthly summary for 2025-08 highlighting key features delivered, major bugs fixed, and overall impact; focusing on business value and technical achievements for amrvac/AGILE-experimental. Delivered core hyperbolic hydrodynamics module (FFHD), corrected OpenACC parallel loop handling (xlocC), and extended non-local thermal conduction sources for hyperbolic TC, enabling richer physics and more robust parallel performance.
3 Commits • 2 Features
Aug 1, 2025Concise monthly summary for 2025-08 highlighting key features delivered, major bugs fixed, and overall impact; focusing on business value and technical achievements for amrvac/AGILE-experimental. Delivered core hyperbolic hydrodynamics module (FFHD), corrected OpenACC parallel loop handling (xlocC), and extended non-local thermal conduction sources for hyperbolic TC, enabling richer physics and more robust parallel performance.
August 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture76.6%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
Computational PhysicsFortranFortran ProgrammingHigh-Performance ComputingNumerical MethodsNumerical SimulationParallel Computing
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