argonne-lcf/ALCF_Hands_on_HPC_Workshop
Oct 2025 – Oct 2025
1 Month active
Languages Used
CC++MakefileShell
Technical Skills
Code ProfilingGPU ComputingHigh-Performance ComputingMPIOpenMPPerformance Analysis
John Mellor-Crummey
PROFILE
John Mellor-crummey
John McCalpin developed a comprehensive HPCToolkit hands-on tutorial and example suite for the argonne-lcf/ALCF_Hands_on_HPC_Workshop repository. He designed and implemented an end-to-end workflow that guides users through setup, building, running, and analyzing performance data for OpenMP, SYCL, and QMCPACK programs. Using C, C++, and shell scripting, John created setup scripts, Makefiles, and detailed README documentation to support GPU offloading and diverse performance analysis scenarios. His work addressed onboarding and reproducibility challenges, providing practical resources for high-performance computing participants to understand code profiling and performance analysis. The contribution demonstrated depth in both technical content and usability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,005
Activity Months1
Your Network
44 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered a comprehensive HPCToolkit Hands-on Tutorial and Examples in the argonne-lcf/ALCF_Hands_on_HPC_Workshop repo. The package includes setup scripts, example programs for OpenMP, SYCL, and QMCPACK, plus READMEs and Makefiles to build, run, and analyze performance data. It covers GPU offloading techniques and diverse performance analysis scenarios, anchored by commit 45af8a8c8da73c5134a5f81cfb9cafc209a510c1. This work improves participant onboarding, reproducibility, and practical understanding of performance tools.
1 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered a comprehensive HPCToolkit Hands-on Tutorial and Examples in the argonne-lcf/ALCF_Hands_on_HPC_Workshop repo. The package includes setup scripts, example programs for OpenMP, SYCL, and QMCPACK, plus READMEs and Makefiles to build, run, and analyze performance data. It covers GPU offloading techniques and diverse performance analysis scenarios, anchored by commit 45af8a8c8da73c5134a5f81cfb9cafc209a510c1. This work improves participant onboarding, reproducibility, and practical understanding of performance tools.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++MakefileShell
Technical Skills
Code ProfilingGPU ComputingHigh-Performance ComputingMPIOpenMPPerformance AnalysisSYCLShell Scripting
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