ExtremeFLOW/neko
Oct 2024 – Jan 2025
2 Months active
Languages Used
Fortran
Technical Skills
Build System ConfigurationBuild SystemsCode CleanupCode FormattingCode InstrumentationCode Refactoring
gloopydoop
PROFILE
Gloopydoop
Worked on the ExtremeFLOW/neko repository, delivering two major features and a bug fix over two months focused on high-performance computing and numerical simulation. Developed a Brinkman PDE-based filter with enhanced visualization, integrating it into the initialization process and updating the build system for maintainability. Improved memory safety in the global interpolation module by refining resource deallocation logic. In a subsequent phase, implemented a dedicated preconditioner factory for the PDE_filter, streamlined boundary condition handling, and introduced a solver workflow to improve convergence and reliability. The work leveraged Fortran, advanced numerical methods, and build system configuration to strengthen solver robustness and maintainability.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
2
Lines of code
675
Activity Months2
Your Network
17 peopleSame Organization
@mech.kth.se2
Shared Repositories
15
Adam PeplinskiMember
Victor BaconnetMember
Gregor CorbinMember
Siavash ToosiMember
Tuan Anh DaoMember
Linnea HuuskoMember
MartinKarpMember
Niclas JanssonMember
Peter OhmMember
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for ExtremeFLOW/neko. Key deliverables focused on PDE_filter preconditioning for reliability and convergence. Implemented a dedicated preconditioner factory and consolidated preconditioner initialization, simplified boundary condition handling, and introduced a convergence-enhancing solver workflow by solving for d_rho and computing d_F_out prior to the F_out update. This work strengthens solver robustness and reduces configuration complexity. Commits documenting these changes include 5b220c7a723667a729f0ccbce42e32852155225c (fixed preconditioners) and b23e4a89802991c2bb91cdfc00a968860e35232c (solve for d rho).
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for ExtremeFLOW/neko. Key deliverables focused on PDE_filter preconditioning for reliability and convergence. Implemented a dedicated preconditioner factory and consolidated preconditioner initialization, simplified boundary condition handling, and introduced a convergence-enhancing solver workflow by solving for d_rho and computing d_F_out prior to the F_out update. This work strengthens solver robustness and reduces configuration complexity. Commits documenting these changes include 5b220c7a723667a729f0ccbce42e32852155225c (fixed preconditioners) and b23e4a89802991c2bb91cdfc00a968860e35232c (solve for d rho).
January 2025
October 2024
9 Commits • 1 Features
Oct 1, 20242024-10 Monthly summary for ExtremeFLOW/neko: Delivered major PDE-based filtering and robustness improvements with enhanced visualization capabilities; strengthened memory safety in interpolation; and improved build/resource management to support maintainability and future expansion.
October 2024
9 Commits • 1 Features
Oct 1, 20242024-10 Monthly summary for ExtremeFLOW/neko: Delivered major PDE-based filtering and robustness improvements with enhanced visualization capabilities; strengthened memory safety in interpolation; and improved build/resource management to support maintainability and future expansion.
Activity
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Quality Metrics
Correctness87.2%
Maintainability87.2%
Architecture81.8%
Performance76.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
Build System ConfigurationBuild SystemsCode CleanupCode FormattingCode InstrumentationCode RefactoringDependency ManagementFinite Element MethodFortranFortran DevelopmentHigh-Performance ComputingLinear SolversMemory ManagementNumerical MethodsNumerical Simulation
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