
Sonal Jain developed a suite of high-performance computing workflow templates and reproducible build/test scripts for the AdvancedResearchComputing/examples repository over a two-month period. Focusing on SLURM-managed environments, Sonal created ready-to-run examples for data visualization, file compression, and scientific simulation, leveraging Python, Shell scripting, and ANSYS Fluent. The work included batch scripts for Seaborn-based visualization, Miniconda environment management, and automated simulation setup, all designed to streamline onboarding and standardize demonstrations. Sonal also refactored OpenBLAS and PALM build/test workflows, aligning them with current module practices to improve clarity, maintainability, and reproducibility for HPC users in cluster environments.

July 2025 monthly summary for AdvancedResearchComputing/examples: Implemented runnable SLURM build/test workflows for PALM and aligned OpenBLAS testing with updated environment practices. Added runnable PALM/OpenBLAS examples to the environment, and refactored the OpenBLAS example script for clarity and current module loading practices. These changes improve reproducibility, reduce onboarding time for HPC users, and streamline CI/test execution in cluster environments.
July 2025 monthly summary for AdvancedResearchComputing/examples: Implemented runnable SLURM build/test workflows for PALM and aligned OpenBLAS testing with updated environment practices. Added runnable PALM/OpenBLAS examples to the environment, and refactored the OpenBLAS example script for clarity and current module loading practices. These changes improve reproducibility, reduce onboarding time for HPC users, and streamline CI/test execution in cluster environments.
May 2025 – Delivered four ready-to-run HPC workflow templates in AdvancedResearchComputing/examples, enabling rapid onboarding, reproducibility, and standardized demonstrations across SLURM-based environments.
May 2025 – Delivered four ready-to-run HPC workflow templates in AdvancedResearchComputing/examples, enabling rapid onboarding, reproducibility, and standardized demonstrations across SLURM-based environments.
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