AMReX-FHD/FHDeX
Oct 2024 – Oct 2024
1 Month active
Languages Used
BashPythonShell
Technical Skills
Data AnalysisHigh-Performance ComputingScientific ComputingShell Scripting
Changho Kim
PROFILE
Changho Kim
Worked on the AMReX-FHD/FHDeX repository to deliver two core features focused on scientific computing and data analysis. Developed enhanced entropy analysis for the NO2 dimerization test by updating Python and Bash scripts to improve output detail and organization, supporting more granular validation and traceability. Introduced a comprehensive Schlogl 2D reaction-diffusion test case, including domain setup, reaction kinetics, and cluster job submission scripting, enabling scalable, reproducible benchmarking. Leveraged skills in high-performance computing and shell scripting to standardize test result storage and naming, expanding test coverage and facilitating robust performance evaluation for future experiments without addressing bug fixes during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
131
Activity Months1
Your Network
12 peopleSame Organization
@ucmerced.edu1
Shared Repositories
11
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Work History
October 2024
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — In AMReX-FHD/FHDeX, delivered two core features that advance testability, traceability, and validation for NO2 dimerization and Schlogl reaction-diffusion modeling. Completed updates to entropy analysis outputs and organization, and introduced a complete Schlogl 2D test case with end-to-end scripting and cluster execution. These efforts enhance metric detail, reproducibility, and scalability of tests, supporting more robust validation and performance benchmarking. Notable commits include: b14f0204faf2d4829216d69c05d1cf2e6d268da0 (entropy_check.py and zavg3.sh) and 66ae99d615baf33b2b8936347a7d8806ef84a5f0 (Schlogl 2D test).
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — In AMReX-FHD/FHDeX, delivered two core features that advance testability, traceability, and validation for NO2 dimerization and Schlogl reaction-diffusion modeling. Completed updates to entropy analysis outputs and organization, and introduced a complete Schlogl 2D test case with end-to-end scripting and cluster execution. These efforts enhance metric detail, reproducibility, and scalability of tests, supporting more robust validation and performance benchmarking. Notable commits include: b14f0204faf2d4829216d69c05d1cf2e6d268da0 (entropy_check.py and zavg3.sh) and 66ae99d615baf33b2b8936347a7d8806ef84a5f0 (Schlogl 2D test).
October 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashPythonShell
Technical Skills
Data AnalysisHigh-Performance ComputingScientific ComputingShell Scripting
Repositories Contributed To
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