loganoz/horses3d
Nov 2024 – May 2026
4 Months active
Languages Used
YAMLFortranMarkdown
Technical Skills
Build AutomationCI/CDDevOpsFortranGitHub ActionsHigh-Performance Computing
loganoz
PROFILE
Loganoz
Worked on the loganoz/horses3d repository, delivering features and improvements across build automation, CI/CD, and scientific computing workflows. Established a robust continuous integration foundation using GitHub Actions and YAML scripting, enabling multi-OS, multi-compiler testing for Fortran code and improving cross-platform reliability. Enhanced parallel test execution and optimized MPI-based routines to reduce synchronization overhead in high-performance computing simulations. Strengthened test coverage for Navier-Stokes validation by refining test suites and reorganizing CI workflows. Additionally, improved project documentation by updating funding acknowledgments in Markdown, supporting transparency and onboarding. The work emphasized reproducibility, maintainability, and efficient validation for computational fluid dynamics research.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
5
Lines of code
1,554
Activity Months4
Your Network
12 peopleSame Organization
@upm.es4
Shared Repositories
8
Abbas BalloutMember
Albert Jimenez RamosMember
DhueperMember
Eduardo JanéMember
Himpu MarbonaMember
hmarbonaMember
Oscar MarinoMember
Esteban FerrerMember
Work History
May 2026
2 Commits • 1 Features
May 1, 2026In May 2026, the focus was on documentation improvements for the loganoz/horses3d repository to enhance funding transparency and onboarding clarity. No code changes were merged this month; the work centered on updating the README to clearly acknowledge funding sources and improve the accuracy of the acknowledgments section. This supports compliance, reporting, and contributor visibility while keeping the codebase stable.
2 Commits • 1 Features
May 1, 2026In May 2026, the focus was on documentation improvements for the loganoz/horses3d repository to enhance funding transparency and onboarding clarity. No code changes were merged this month; the work centered on updating the README to clearly acknowledge funding sources and improve the accuracy of the acknowledgments section. This supports compliance, reporting, and contributor visibility while keeping the codebase stable.
May 2026
October 2025
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: loganoz/horses3d. Focused on strengthening test coverage and CI reliability for Navier-Stokes validation. Delivered targeted test suite enhancements and CI/process improvements to enable faster, more reliable validation across CFD simulations.
October 2025
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: loganoz/horses3d. Focused on strengthening test coverage and CI reliability for Navier-Stokes validation. Delivered targeted test suite enhancements and CI/process improvements to enable faster, more reliable validation across CFD simulations.
December 2024
6 Commits • 2 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on loganoz/horses3d, highlighting delivered features, major improvements, impact, and demonstrated technologies. Business value is emphasized alongside technical achievements.
6 Commits • 2 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on loganoz/horses3d, highlighting delivered features, major improvements, impact, and demonstrated technologies. Business value is emphasized alongside technical achievements.
December 2024
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for loganoz/horses3d: Delivered a robust CI foundation for the Fortran project and stabilized the build environment with Intel oneAPI pinning. This work reduces time-to-feedback, improves cross-platform reliability, and supports easier onboarding for new contributors.
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for loganoz/horses3d: Delivered a robust CI foundation for the Fortran project and stabilized the build environment with Intel oneAPI pinning. This work reduces time-to-feedback, improves cross-platform reliability, and supports easier onboarding for new contributors.
Activity
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Quality Metrics
Correctness87.4%
Maintainability89.6%
Architecture84.2%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranMarkdownYAML
Technical Skills
Build AutomationCI/CDDevOpsFortranGitHub ActionsHigh-Performance ComputingMPIParallel ComputingShell ScriptingYAML scriptingcontent editingdocumentationfluid dynamicsfunding acknowledgmentnumerical methods
Repositories Contributed To
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