4C-multiphysics/4C
Sep 2025 – Mar 2026
6 Months active
Languages Used
C++CMakeShellXMLYAMLPythonreStructuredTextMarkdown
Technical Skills
C++MPIParallel ComputingRefactoringSoftware DevelopmentCMake
Rasmus Joussen
PROFILE
Rasmus Joussen
Worked on the 4C-multiphysics/4C repository, delivering core simulation features and reliability improvements over six months. Developed and refactored C++ modules for mesh processing, parallel computing with MPI, and robust file I/O to support distributed and restartable simulations. Enhanced the VTK writer for flexible output and restart workflows, integrated GMSH mesh support, and improved boundary condition management. Applied CMake scripting and continuous integration to streamline builds and testing. Addressed bugs affecting distributed runs and simulation recovery, while expanding test coverage and documentation. The work emphasized maintainability, safe API design, and reproducible workflows, supporting both engineering velocity and production reliability.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
26Total
Bugs
2
Commits
26
Features
14
Lines of code
9,308
Activity Months6
Your Network
198 peopleShared Repositories
51
Dharini BalachandranMember
Abhiroop SatheeshMember
Alexander HermannMember
Amadeus GebauerMember
Barbara WirthlMember
Benedikt GoderbauerMember
Benno SchoensteinMember
Christoph SchmidtMember
Daniel WolffMember
Work History
March 2026
3 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for 4C repository focus on initialization clarity, workflow reliability, and developer tooling improvements to reduce setup time and improve reproducibility. Key outcomes include a code refactor of the Condition constructor for direct node/input parameter initialization, an enhanced VTK writer to support restarting simulations from the same directory, and Copilot integration guidance for fourcipp and four_c_metadata. These changes improve maintainability, reduce setup errors, and accelerate simulation workflows across the 4C project.
3 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for 4C repository focus on initialization clarity, workflow reliability, and developer tooling improvements to reduce setup time and improve reproducibility. Key outcomes include a code refactor of the Condition constructor for direct node/input parameter initialization, an enhanced VTK writer to support restarting simulations from the same directory, and Copilot integration guidance for fourcipp and four_c_metadata. These changes improve maintainability, reduce setup errors, and accelerate simulation workflows across the 4C project.
March 2026
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 (repo: 4C-multiphysics/4C) delivered core feature enhancements, substantial refactors, and improved test/docs. Focused on increasing robustness, maintainability, and engineering velocity while preserving existing business functionality.
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 (repo: 4C-multiphysics/4C) delivered core feature enhancements, substantial refactors, and improved test/docs. Focused on increasing robustness, maintainability, and engineering velocity while preserving existing business functionality.
January 2026
9 Commits • 4 Features
Jan 1, 2026January 2026 (2026-01) Monthly summary for 4C - 4C-multiphysics project. Focused on delivering core mesh interoperability, robust restart/data output, and boundary-condition geometry improvements, with strong CI/CD readiness and expanded test coverage to support reliable production use and faster customer onboarding.
9 Commits • 4 Features
Jan 1, 2026January 2026 (2026-01) Monthly summary for 4C - 4C-multiphysics project. Focused on delivering core mesh interoperability, robust restart/data output, and boundary-condition geometry improvements, with strong CI/CD readiness and expanded test coverage to support reliable production use and faster customer onboarding.
January 2026
December 2025
1 Commits
Dec 1, 2025Month: 2025-12 — Focused on reliability fixes to support long-running simulations. Delivered a critical bug fix that re-enabled the ability to restart simulations from the last completed step, restoring recovery from incomplete runs and improving robustness and user experience. Implemented as a targeted patch in the 4C-multiphysics/4C repo (commit c13d1652b27459e920a7dec9e074a4d8a3bf151f).
December 2025
1 Commits
Dec 1, 2025Month: 2025-12 — Focused on reliability fixes to support long-running simulations. Delivered a critical bug fix that re-enabled the ability to restart simulations from the last completed step, restoring recovery from incomplete runs and improving robustness and user experience. Implemented as a targeted patch in the 4C-multiphysics/4C repo (commit c13d1652b27459e920a7dec9e074a4d8a3bf151f).
November 2025
4 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary for 4C project: Delivered key enhancements to restart handling, improved test coverage for restart-based workflows, and streamlined the codebase to reduce maintenance overhead. The work focused on robust file I/O, restart resiliency, and maintainability, delivering tangible business value through more flexible outputs and more reliable simulations.
4 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary for 4C project: Delivered key enhancements to restart handling, improved test coverage for restart-based workflows, and streamlined the codebase to reduce maintenance overhead. The work focused on robust file I/O, restart resiliency, and maintainability, delivering tangible business value through more flexible outputs and more reliable simulations.
November 2025
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for 4C: Improved reliability of distributed simulations and standardized MPI-like helper APIs, delivering measurable business value through more robust parallel runs and safer, clearer interfaces for developers and users.
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for 4C: Improved reliability of distributed simulations and standardized MPI-like helper APIs, delivering measurable business value through more robust parallel runs and safer, clearer interfaces for developers and users.
Activity
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Quality Metrics
Correctness93.2%
Maintainability89.2%
Architecture91.6%
Performance89.2%
AI Usage26.2%
Skills & Technologies
Programming Languages
C++CMakeMarkdownPythonShellXMLYAMLreStructuredText
Technical Skills
C++C++ developmentCMakeCMake scriptingContinuous IntegrationData serializationDependency ManagementFile I/OMPIMesh ProcessingObject-Oriented ProgrammingParallel ComputingPythonRefactoringSimulation software development
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