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
Rony Keppens developed core computational physics features for the amrvac/AGILE-experimental repository, focusing on high-performance Fortran programming and parallel computing. He delivered a fully hyperbolic hydrodynamics module, enabling advanced simulation of thermal conduction and magnetic field effects through new configuration options and test cases. Rony also addressed parallelization challenges by correcting OpenACC loop private variable handling in the finite volume module, ensuring accurate cell-centered coordinate computations. Additionally, he extended the thermal conduction model to support non-local sources by integrating gradient temperature calculations, enhancing physical realism. His work demonstrated depth in numerical methods and robust implementation of parallel simulation capabilities.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
672
Activity Months1
Your Network
66 people
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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