loganoz/horses3d
Nov 2024 – Oct 2025
6 Months active
Languages Used
FortranYAMLCControl File
Technical Skills
CI/CDCode RefactoringComputational Fluid DynamicsComputational Fluid Dynamics (CFD)Finite Element AnalysisFortran Development
Dhueper
PROFILE
Dhueper
David Hupfer contributed to the loganoz/horses3d repository by developing advanced adaptive simulation features for computational fluid dynamics, focusing on p-adaptation, adaptive time stepping, and reinforcement learning-driven mesh refinement. He engineered robust Fortran modules that integrated high-performance computing techniques such as OpenMP and MPI, enabling scalable parallel simulations. David refactored core mesh and solver components to improve maintainability and test coverage, while also enhancing CI/CD workflows for reliable validation. His work addressed both feature development and bug resolution, resulting in more accurate, stable, and configurable multiphase and acoustic simulations, and demonstrated a deep understanding of numerical methods and scientific software engineering.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
36Total
Bugs
6
Commits
36
Features
9
Lines of code
155,126
Activity Months6
Your Network
6 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 (2025-10) delivered pivotal enhancements to loganoz/horses3d, advancing RL-based adaptive CFD capabilities and improving maintainability. Key features include Cylinder p-adaptation with Reinforcement Learning using Gauss-Lobatto nodes and an enhanced adaptive time-stepping scheme for the MixedRK method, delivering higher accuracy and efficiency. A major maintainability improvement reorganized RL p-Adaptation policy configurations to reduce duplication and clarify test setups. Additionally, the Navier-Stokes cylinder test case was refined for accuracy and stability by removing a redundant parameter and tuning residuals, drag (cd), and lift (cl). Collectively, these changes reduce configuration overhead, accelerate experimentation with RL-driven adaptivity, and strengthen simulation fidelity across scenarios.
4 Commits • 2 Features
Oct 1, 2025October 2025 (2025-10) delivered pivotal enhancements to loganoz/horses3d, advancing RL-based adaptive CFD capabilities and improving maintainability. Key features include Cylinder p-adaptation with Reinforcement Learning using Gauss-Lobatto nodes and an enhanced adaptive time-stepping scheme for the MixedRK method, delivering higher accuracy and efficiency. A major maintainability improvement reorganized RL p-Adaptation policy configurations to reduce duplication and clarify test setups. Additionally, the Navier-Stokes cylinder test case was refined for accuracy and stability by removing a redundant parameter and tuning residuals, drag (cd), and lift (cl). Collectively, these changes reduce configuration overhead, accelerate experimentation with RL-driven adaptivity, and strengthen simulation fidelity across scenarios.
October 2025
July 2025
9 Commits • 2 Features
Jul 1, 2025July 2025 (loganoz/horses3d) delivered core simulation improvements focused on efficiency, stability, and reliability. Implemented Adaptive Time Stepping System with new RK state data structures, an adaptive time step manager, and multi-level Runge-Kutta compatibility, supported by tests. Refactored Adaptive Meshing Enrichment to clarify and streamline OverEnrichRegions element enrichment for better maintainability and performance. Strengthened reliability of statistics handling by enforcing destructor correctness and purity annotations in statistics storage. These changes reduce runtime variance, enable larger stable time steps, and improve code quality and test coverage, laying a solid foundation for future scaling and business-driven simulation workloads.
July 2025
9 Commits • 2 Features
Jul 1, 2025July 2025 (loganoz/horses3d) delivered core simulation improvements focused on efficiency, stability, and reliability. Implemented Adaptive Time Stepping System with new RK state data structures, an adaptive time step manager, and multi-level Runge-Kutta compatibility, supported by tests. Refactored Adaptive Meshing Enrichment to clarify and streamline OverEnrichRegions element enrichment for better maintainability and performance. Strengthened reliability of statistics handling by enforcing destructor correctness and purity annotations in statistics storage. These changes reduce runtime variance, enable larger stable time steps, and improve code quality and test coverage, laying a solid foundation for future scaling and business-driven simulation workloads.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for loganoz/horses3d: Delivered acoustic variable support for rho in p-adaptation and time integration, with acoustic error estimation and config parsing. Refactored variable handling for consistent assignment under NAVIERSTOKES/MULTIPHASE and ensured correct acoustic variable type assignment during time integration. These changes improve modeling fidelity for variable-density simulations and enhance stability and configurability.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for loganoz/horses3d: Delivered acoustic variable support for rho in p-adaptation and time integration, with acoustic error estimation and config parsing. Refactored variable handling for consistent assignment under NAVIERSTOKES/MULTIPHASE and ensured correct acoustic variable type assignment during time integration. These changes improve modeling fidelity for variable-density simulations and enhance stability and configurability.
March 2025
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025: Core parallelization and acoustic-path modeling enhancements for Horses3D, complemented by CI reliability improvements and OpenMP stability work. The month delivered targeted features, bug fixes, and architectural refinements that collectively increase simulation scalability, robustness, and business value, while reducing validation risk across compilers and environments.
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025: Core parallelization and acoustic-path modeling enhancements for Horses3D, complemented by CI reliability improvements and OpenMP stability work. The month delivered targeted features, bug fixes, and architectural refinements that collectively increase simulation scalability, robustness, and business value, while reducing validation risk across compilers and environments.
December 2024
4 Commits • 1 Features
Dec 1, 2024Performance-review ready monthly summary for 2024-12 covering loganoz/horses3d. Achievements include delivering key feature improvements in test accuracy for Euler and Navier–Stokes cylinder simulations and fixing OpenMP-related sensor monitoring issues. The work enhances validation reliability and sensor integrity, enabling faster release readiness and more trustworthy numerical results.
4 Commits • 1 Features
Dec 1, 2024Performance-review ready monthly summary for 2024-12 covering loganoz/horses3d. Achievements include delivering key feature improvements in test accuracy for Euler and Navier–Stokes cylinder simulations and fixing OpenMP-related sensor monitoring issues. The work enhances validation reliability and sensor integrity, enabling faster release readiness and more trustworthy numerical results.
December 2024
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for loganoz/horses3d focused on stabilizing the BR2-based solver and expanding acoustic p-adaptation with multiphase capabilities. Key work included fixing an EllipticBR2 invjac indexing bug, updating relevant tests for CylinderBR2 and CylinderDucros, and delivering a comprehensive set of acoustic p-adaptation enhancements with refined mesh strategies, gradient calculations for multiphase flow, and related CI/workflow improvements. Updates to HexMesh and pAdaptation classes and tweaks to support acoustic sources further strengthened the codebase. These efforts improved simulation accuracy, reliability, and deployment readiness, while expanding capabilities for acoustic sources and multiphase modeling.
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for loganoz/horses3d focused on stabilizing the BR2-based solver and expanding acoustic p-adaptation with multiphase capabilities. Key work included fixing an EllipticBR2 invjac indexing bug, updating relevant tests for CylinderBR2 and CylinderDucros, and delivering a comprehensive set of acoustic p-adaptation enhancements with refined mesh strategies, gradient calculations for multiphase flow, and related CI/workflow improvements. Updates to HexMesh and pAdaptation classes and tweaks to support acoustic sources further strengthened the codebase. These efforts improved simulation accuracy, reliability, and deployment readiness, while expanding capabilities for acoustic sources and multiphase modeling.
Activity
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Quality Metrics
Correctness81.4%
Maintainability83.4%
Architecture73.8%
Performance73.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CControl FileFortranYAML
Technical Skills
Adaptive Mesh RefinementAdaptive Time SteppingBug FixingCFDCI/CDCode OrganizationCode RefactoringComputational Fluid DynamicsComputational Fluid Dynamics (CFD)Computational PhysicsDocumentationFile ManagementFinite Element AnalysisFinite Element Method (FEM)Fluid Dynamics
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