amrvac/AGILE-experimental
Apr 2025 – Sep 2025
2 Months active
Languages Used
Fortran
Technical Skills
Fortran ProgrammingHigh-Performance ComputingMPINumerical MethodsParallel ComputingFortran
Chun Xia
PROFILE
Chun Xia
Over a two-month period, contributed to the amrvac/AGILE-experimental repository by developing two core features focused on high-performance scientific computing. First, refactored ghost cell handling in Fortran to optimize inter-processor communication, aligning MPI data types and streamlining the update workflow for improved scalability in large parallel runs. Later, implemented a Magnetohydrodynamics (MHD) module, introducing new physics definitions, parameter management, and flux calculations, along with dedicated test cases to validate magnetized flow simulations. The work demonstrated depth in Fortran programming, parallel computing, and numerical methods, enhancing both the performance and physics capabilities of the simulation framework without addressing bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,926
Activity Months2
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Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key delivery this month: Magnetohydrodynamics (MHD) module added to amrvac/AGILE-experimental, including physics definitions, parameter reading, initialization, and flux calculations; two new test cases validate MHD functionality. This work expands the framework to support magnetized flow simulations and improves overall validation coverage.
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key delivery this month: Magnetohydrodynamics (MHD) module added to amrvac/AGILE-experimental, including physics definitions, parameter reading, initialization, and flux calculations; two new test cases validate MHD functionality. This work expands the framework to support magnetized flow simulations and improves overall validation coverage.
September 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments for amrvac/AGILE-experimental. Delivered a targeted IPC/ghost cell optimization that refactors ghost cell handling and aligns MPI data types to improve inter-processor communication efficiency for ghost cell updates, with a focus on sibling exchanges. The changes establish a cleaner, more scalable code path for large MPI runs and set the stage for further performance enhancements in the ghost cell workflow.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments for amrvac/AGILE-experimental. Delivered a targeted IPC/ghost cell optimization that refactors ghost cell handling and aligns MPI data types to improve inter-processor communication efficiency for ghost cell updates, with a focus on sibling exchanges. The changes establish a cleaner, more scalable code path for large MPI runs and set the stage for further performance enhancements in the ghost cell workflow.
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
FortranFortran ProgrammingFull Stack DevelopmentHigh-Performance ComputingMPIMagnetohydrodynamics (MHD) SimulationNumerical MethodsParallel ComputingScientific Computing
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