Month: 2025-10 — Completed a major refresh of the UPPMAX/R-matlab-julia-HPC documentation and learning resources, focusing on GPU content, ML integration, batch exercises, and evaluation forms. Key improvements include a streamlined GPU section with Julia and MATLAB ML links, a reorganized batch exercises directory covering R and MATLAB, targeted formatting and presentation cleanups, and robust path/test scaffolding. Introduced ML options in the UI, added ML introductory content, and expanded the evaluation framework for R, MATLAB, and Julia. These efforts increase discoverability, reduce onboarding time for HPC learners, improve maintainability, and provide a solid foundation for future ML and HPC content.

2025-09 monthly summary for UPPMAX/R-matlab-julia-HPC. Delivered substantial documentation and HPC tooling improvements to accelerate onboarding, cross-language collaboration, and enterprise readiness. The month focused on translating and structuring ML-with-R docs, enabling GPU/HPC workflows with CUDA, and preparing for C3SE integration, while maintaining high code quality through formatting improvements and dependency updates.

April 2025: Delivered comprehensive HPC documentation updates for UPPMAX/HPC-python, consolidating guidance across batch processing, interactive reservations, resource scheduling, and Python environments, with new usage examples and course evaluation forms to guide users and optimize HPC resource usage. The work emphasized usability, consistency, and clear guidance for complex workflows.

Concise monthly summary for 2025-03 focused on delivering cross-cluster R/parallel workflows, PDC/NSC updates, and documentation improvements for the UPPMAX/R-matlab-julia-HPC repository. The work strengthened NSC-Rmpi integration, advanced MATLAB/pbdMPI guidance, updated project metadata across clusters, and enhanced interactive-session access and RStudio support across NSC, PDC, LUNARC, Cosmos, and HPC2N.

February 2025: Documentation-focused sprint across two repos delivering clearer language support, improved HPC resources visibility, and enhanced evaluation accessibility. No code changes beyond docs this month. These updates establish a more accurate feature scope for users and lay groundwork for future documentation automation.

December 2024, UPPMAX/HPC-python: Delivered comprehensive HPC workflow documentation and example scripts to improve reproducibility, onboarding, and training across multiple systems (UPPMAX, HPC2N, LUNARC, NSC). Key features include Jupyter notebooks with Matplotlib/Seaborn on HPC2N, GPU usage docs and batch scripts for multiple systems, and Cosmos/Lunarc HPC exercise resources. Fixed a login URL syntax issue in Kebnekaise docs. Demonstrated strong collaboration, cross-system scripting, and Python-based workflow automation.

Month 2024-11: Delivered cross-center HPC onboarding documentation and Python environment guidance, plus data visualization capabilities for exploratory data analysis. Focused on reducing onboarding time, standardizing environments, and enabling researchers to quickly reproduce ML/DL workflows.