
Sarah Ghazanfari developed and stabilized high-performance computing workflows in the AdvancedResearchComputing/examples repository over a two-month period. She delivered a comprehensive STAR-CCM+ automation pipeline, integrating SLURM-based job submission, MPI-driven batch execution, and diagnostic scripting to streamline airfoil simulation runs and validate GPU environments. Her work emphasized reproducibility and efficiency, reducing manual intervention and supporting heterogeneous compute resources. In addition, Sarah addressed workflow reliability by correcting a critical file path typo in the VASP simulation process, preventing downstream errors. She utilized technologies such as bash scripting, Java, and cluster management, demonstrating depth in HPC automation and research software development.

Summary for 2026-01: Focused on delivering a comprehensive STAR-CCM+ HPC automation workflow in AdvancedResearchComputing/examples. The release includes SLURM-based submission, MPI batch-mode execution, a new airfoil simulation file, an automation macro for repeated runs, and a diagnostic Slurm script to validate MACE/GPU environments. No major bugs fixed this month; emphasis was on feature delivery, documentation, and validation. Business value: accelerates STAR-CCM+ experiments, improves reproducibility, reduces manual toil, and ensures reliable performance across heterogeneous compute resources. Technologies demonstrated: SLURM, MPI, bash/macros, diagnostic scripting, Git, and HPC workflow orchestration.
Summary for 2026-01: Focused on delivering a comprehensive STAR-CCM+ HPC automation workflow in AdvancedResearchComputing/examples. The release includes SLURM-based submission, MPI batch-mode execution, a new airfoil simulation file, an automation macro for repeated runs, and a diagnostic Slurm script to validate MACE/GPU environments. No major bugs fixed this month; emphasis was on feature delivery, documentation, and validation. Business value: accelerates STAR-CCM+ experiments, improves reproducibility, reduces manual toil, and ensures reliable performance across heterogeneous compute resources. Technologies demonstrated: SLURM, MPI, bash/macros, diagnostic scripting, Git, and HPC workflow orchestration.
Month: 2025-11 — This month focused on a critical reliability fix in AdvancedResearchComputing/examples. The POSCAR Filename Typo Correction ensured the VASP workflow references the correct POSCAR path, preventing misreads and downstream errors. No new features were released this period; the primary value came from stabilizing core workflows and reducing risk in research pipelines.
Month: 2025-11 — This month focused on a critical reliability fix in AdvancedResearchComputing/examples. The POSCAR Filename Typo Correction ensured the VASP workflow references the correct POSCAR path, preventing misreads and downstream errors. No new features were released this period; the primary value came from stabilizing core workflows and reducing risk in research pipelines.
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