ISSMteam/ISSM
Jan 2025 – Feb 2025
2 Months active
Languages Used
m4Python
Technical Skills
Build System ConfigurationCross-Platform Compatibilitybuild system configurationcross-platform compatibilityCluster ConfigurationCluster Management
Justin Kin Jun Hew
PROFILE
Justin Kin Jun Hew
Justin Hew contributed to the ISSMteam/ISSM repository by developing two core features over two months, focusing on build system robustness and HPC integration. He enhanced Python library detection for Homebrew installations on macOS, improving onboarding reliability by implementing defensive checks in the build configuration. In the following month, Justin engineered end-to-end integration with the Gadi HPC cluster, creating a Python-based workflow for job submission, resource allocation, and automated results retrieval. His work leveraged Python, shell scripting, and PBS job scheduling, demonstrating depth in cross-platform compatibility and cluster management. The solutions addressed installation pain points and streamlined large-scale simulation workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
512
Activity Months2
Your Network
24 people
Work History
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 update for ISSM development. Delivered end-to-end Gadi HPC cluster integration to enable ISSM simulations on the Gadi system. Built a new Python class 'gadi', queue script generation, and a robust job submission workflow—covering initialization, module loading, resource allocation, SSH launch, and automatic results download. Developed and validated queue scripts for scalable, repeatable ISSM runs. This work reduces time-to-solution for large-scale simulations and improves reproducibility across HPC environments. No major bugs fixed this month; primary focus on feature delivery and reliability improvements. Key commits include: 6775867542687faadaa0fbcfbcd02c207c6d42cd, ebdf473e16856486670f36863f3c17ff5af766c6, 0cae94c89005accbd3d542ffb9776cf7d880a770, f1d57308da49e9788b5d1a88b6734259368f5df8.
4 Commits • 1 Features
Feb 1, 2025February 2025 update for ISSM development. Delivered end-to-end Gadi HPC cluster integration to enable ISSM simulations on the Gadi system. Built a new Python class 'gadi', queue script generation, and a robust job submission workflow—covering initialization, module loading, resource allocation, SSH launch, and automatic results download. Developed and validated queue scripts for scalable, repeatable ISSM runs. This work reduces time-to-solution for large-scale simulations and improves reproducibility across HPC environments. No major bugs fixed this month; primary focus on feature delivery and reliability improvements. Key commits include: 6775867542687faadaa0fbcfbcd02c207c6d42cd, ebdf473e16856486670f36863f3c17ff5af766c6, 0cae94c89005accbd3d542ffb9776cf7d880a770, f1d57308da49e9788b5d1a88b6734259368f5df8.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ISSM team (ISSM). Focused on bolstering macOS onboarding for users with Homebrew Python installations. Delivered an improvement to Python library detection in the build system to correctly locate headers and libraries when Python is installed via Homebrew, increasing installation success rates and reducing setup failures. Implemented two defensive checks in the Homebrew Python path discovery (commits 2a32551661f0655c4aedf48bd3b71f9b7f68c8d6 and f3640ffa26713ab321924710b17d98cd48d9ac45).
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ISSM team (ISSM). Focused on bolstering macOS onboarding for users with Homebrew Python installations. Delivered an improvement to Python library detection in the build system to correctly locate headers and libraries when Python is installed via Homebrew, increasing installation success rates and reducing setup failures. Implemented two defensive checks in the Homebrew Python path discovery (commits 2a32551661f0655c4aedf48bd3b71f9b7f68c8d6 and f3640ffa26713ab321924710b17d98cd48d9ac45).
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture78.4%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Pythonm4
Technical Skills
Build System ConfigurationCluster ConfigurationCluster ManagementCross-Platform CompatibilityHPCHPC Cluster ManagementHigh-Performance Computing (HPC)PBS (Portable Batch System)PBS Job SchedulingPBS ScriptingPython DevelopmentSSHShell Scriptingbuild system configurationcross-platform compatibility
Repositories Contributed To
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