CSCfi/csc-user-guide
Jan 2025 – May 2026
3 Months active
Languages Used
BashMarkdownPython
Technical Skills
Bash ScriptingDocumentationHPCHigh-Performance ComputingPython ScriptingQuantum Computing
Michael Mucciardi
PROFILE
Michael Mucciardi
Contributed to the CSCfi/csc-user-guide repository by developing and maintaining comprehensive documentation and technical guidance for quantum computing workflows on the LUMI supercomputer. Focused on updating Qiskit environment instructions, optimizing resource allocation, and enhancing simulation examples, the work leveraged Bash and Python scripting alongside expertise in high-performance computing and SLURM. Delivered features such as multi-node GPU acceleration support, single-precision guidance, and container version alignment, ensuring users could efficiently deploy and scale quantum simulations. The approach emphasized reproducibility, clarity, and performance, reducing onboarding time for researchers and minimizing support overhead related to evolving HPC and containerized environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
927
Activity Months3
Your Network
109 peopleSame Organization
@csc.fi56
Antonio DelgadoMember
alvaro.gonzalezMember
Anni JärvenpääMember
Anni MoisalaMember
Ari-Matti SarenMember
Aino TaniMember
attesillanpaaMember
Muhammad AzharMember
Cristian-Vasile AchimMember
Shared Repositories
53
Work History
May 2026
1 Commits • 1 Features
May 1, 2026For CSCfi/csc-user-guide in May 2026, delivered Qiskit 2.3.0 Documentation Update with single-precision support and LUMI optimizations. No major bug fixes identified this month; main impact was improved HPC readiness and developer experience through updated docs, container alignment, and optimized sbatch usage on LUMI. Key outcomes include clearer upgrade paths, enhanced LUMI-specific guidance, and performance-oriented script tweaks.
1 Commits • 1 Features
May 1, 2026For CSCfi/csc-user-guide in May 2026, delivered Qiskit 2.3.0 Documentation Update with single-precision support and LUMI optimizations. No major bug fixes identified this month; main impact was improved HPC readiness and developer experience through updated docs, container alignment, and optimized sbatch usage on LUMI. Key outcomes include clearer upgrade paths, enhanced LUMI-specific guidance, and performance-oriented script tweaks.
May 2026
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Updated the CSCfi/csc-user-guide to reflect the LUMI container 1.3.2 environment, updating qiskit.md with changes to installed packages, version numbers, and resource allocation guidelines. The change ensures users have accurate setup instructions, improves reproducibility, and reduces potential support overhead related to container updates.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Updated the CSCfi/csc-user-guide to reflect the LUMI container 1.3.2 environment, updating qiskit.md with changes to installed packages, version numbers, and resource allocation guidelines. The change ensures users have accurate setup instructions, improves reproducibility, and reduces potential support overhead related to container updates.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for CSCfi/csc-user-guide. Key feature delivered: Qiskit documentation and LUMI multi-node GPU acceleration guidance; updated sbatch and Python examples for single-node and multi-node simulations; added support for multi-node Native Cray MPI GPU acceleration; introduced a new resource allocation table based on qubit count.
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for CSCfi/csc-user-guide. Key feature delivered: Qiskit documentation and LUMI multi-node GPU acceleration guidance; updated sbatch and Python examples for single-node and multi-node simulations; added support for multi-node Native Cray MPI GPU acceleration; introduced a new resource allocation table based on qubit count.
January 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
BashMarkdownPython
Technical Skills
Bash ScriptingDocumentationHPCHigh Performance ComputingHigh-Performance ComputingPython ScriptingQuantum ComputingSLURMSimulation
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