JuliaParallel/julia-hpc-tutorial-sc24
Nov 2024 – Nov 2024
1 Month active
Languages Used
BashCSSHTMLJavaScriptJuliaPython
Technical Skills
Build AutomationDagger.jlData VisualizationDistributed ComputingHPCHigh-Performance Computing (HPC)
Johannes Blaschke
PROFILE
Johannes Blaschke
Worked on the JuliaParallel/julia-hpc-tutorial-sc24 repository to deliver two features that streamline the production and execution of high-performance computing tutorial materials. Developed a Makefile-based automation workflow that converts Jupyter notebooks into Reveal.js HTML slides, supporting advanced MPI and halo-exchange content. Enhanced the HPC tutorial execution process by updating MPI job scripts for both single-node and multi-node environments, standardizing Julia module loading, and integrating srun for launching Julia MPI applications. Leveraged Julia, Bash, and Makefile skills to improve reproducibility and reliability, while workflow modernization and clearer separation of concerns contributed to greater maintainability without requiring explicit bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
118,262
Activity Months1
Your Network
12 peopleShared Repositories
12
Johannes BlaschkeMember
Johannes BlaschkeMember
Julian SamarooMember
Julian P SamarooMember
Mosè GiordanoMember
Mosè GiordanoMember
Rabab AlomairyMember
Rabab53Member
Rabab Mohammad AlomairyMember
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two major features for JuliaParallel/julia-hpc-tutorial-sc24 that streamline tutorial material production and HPC execution workflows. Business value includes faster tutorial material delivery, improved reproducibility, and more reliable HPC execution across single- and multi-node configurations. Technologies demonstrated include Makefiles, Reveal.js, Jupyter, MPI, srun, Julia modules, and activation scripts.
3 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two major features for JuliaParallel/julia-hpc-tutorial-sc24 that streamline tutorial material production and HPC execution workflows. Business value includes faster tutorial material delivery, improved reproducibility, and more reliable HPC execution across single- and multi-node configurations. Technologies demonstrated include Makefiles, Reveal.js, Jupyter, MPI, srun, Julia modules, and activation scripts.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashCSSHTMLJavaScriptJuliaPython
Technical Skills
Build AutomationDagger.jlData VisualizationDistributed ComputingHPCHigh-Performance Computing (HPC)Julia ProgrammingJupyter NotebooksMPIMakefileParallel ComputingReveal.jsShell Scripting
Repositories Contributed To
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