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
During October 2024, Chris Kim developed two core features for the AMReX-FHD/FHDeX repository, focusing on scientific computing and high-performance workflows. He enhanced entropy analysis for the NO2 dimerization test by updating Python and Bash scripts to provide more detailed metrics and improved output organization, supporting better traceability and validation. Additionally, Chris implemented a comprehensive Schlogl 2D reaction-diffusion test case, including domain setup, reaction kinetics, and cluster-ready shell scripting for scalable execution. His work emphasized reproducibility and benchmarking, expanding test coverage and enabling robust validation of complex models using Python, Bash, and advanced data analysis techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
131
Activity Months1
Your Network
11 peopleSame Organization
@ucmerced.edu1
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline