stfc/PSyclone
Feb 2026 – Feb 2026
1 Month active
Languages Used
FortranMakefileMarkdownPythonreStructuredText
Technical Skills
DocumentationFortranFortran DevelopmentGPU ProgrammingGPU programmingMakefile
Thomas Gibson
PROFILE
Thomas Gibson
Thomas Gibson developed GPU profiling enhancements for the stfc/PSyclone repository, focusing on integrating AMD ROCm ROCTX profiling and improving OpenMP target offload instrumentation. He implemented a Fortran module and Makefile system that allow profiling regions to be started and stopped without modifying application code, streamlining the profiling workflow for GPU applications. His work included a transformation script for instrumenting OpenMP directives and provided CI-safe defaults to ensure reliability in automated pipelines. Thomas also updated documentation in Markdown and reStructuredText to reflect these new profiling options, demonstrating depth in Fortran development, Makefile scripting, and parallel computing toolchain integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
760
Activity Months1
Your Network
1556 peopleSame Organization
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7b30f3f5e26d48061f873d04cc7e1d1f_amdengMember
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Abdul Lateef AttarMember
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Adam DickinMember
Pryor, AdamMember
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Shared Repositories
22
Work History
February 2026
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary focused on delivering GPU profiling enhancements for PSyclone, including AMD ROCm ROCTX integration and OpenMP target offload profiling tooling, with documentation updates and CI-safe defaults. Work delivered enables profiling regions without modifying application code, improves OpenMP instrumentation, and strengthens reliability for CI pipelines.
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary focused on delivering GPU profiling enhancements for PSyclone, including AMD ROCm ROCTX integration and OpenMP target offload profiling tooling, with documentation updates and CI-safe defaults. Work delivered enables profiling regions without modifying application code, improves OpenMP instrumentation, and strengthens reliability for CI pipelines.
February 2026
Activity
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Quality Metrics
Correctness94.2%
Maintainability91.4%
Architecture94.2%
Performance88.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranMakefileMarkdownPythonreStructuredText
Technical Skills
DocumentationFortranFortran DevelopmentGPU ProgrammingGPU programmingMakefileMakefile scriptingOpenMPParallel ComputingProfilingPythondocumentationprofilingsoftware development
Repositories Contributed To
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