
Oscar Marino contributed to the loganoz/horses3d repository by developing and refining advanced simulation features for computational fluid dynamics and acoustics. Over ten months, he integrated actuator line and immersed boundary methods, enhanced parallel solver robustness, and improved mesh and geometry handling. Using Fortran, Python, and MPI, Oscar focused on numerical accuracy, stability, and maintainability, delivering features such as GPU-ready sponge modules and comprehensive test automation. His work addressed both feature development and targeted bug fixes, resulting in more reliable, scalable simulations and streamlined CI/CD workflows. The depth of his engineering ensured robust, reproducible results across complex multiphysics scenarios.
March 2026: Key delivery in loganoz/horses3d focused on observability and solver correctness. Enabled StatisticsMonitor for the MULTIPHASE solver by adjusting compilation flags, providing deeper runtime insights and faster issue diagnosis in multiphase simulations. Implemented targeted fixes in the CAA solver to correct base flow sound speed calculations and to fix eigenvalue computations by using the correct base flow variables, increasing accuracy and robustness across simulations.
March 2026: Key delivery in loganoz/horses3d focused on observability and solver correctness. Enabled StatisticsMonitor for the MULTIPHASE solver by adjusting compilation flags, providing deeper runtime insights and faster issue diagnosis in multiphase simulations. Implemented targeted fixes in the CAA solver to correct base flow sound speed calculations and to fix eigenvalue computations by using the correct base flow variables, increasing accuracy and robustness across simulations.
February 2026 performance summary for loganoz/horses3d: Delivered substantive enhancements to the acoustic solver and reinforced parallel CFD reliability. Key features include a six-variable Qbase for the acoustic solver with the last variable representing squared speed of sound, plus startup precomputation to boost accuracy and startup performance; and parallel solver robustness improvements with enhanced debugging and more reliable base-solution handling. Major bug fixes address MPI communication robustness in the CAA Riemann solver and MPI_Face storage handling to prevent runtime errors across processes. Overall impact: higher solution accuracy, reduced cross-process failures, and improved maintainability due to clearer parameter naming. Technologies/skills demonstrated include MPI-based parallel solver design, precomputation strategies, debugging instrumentation, and maintainability improvements.
February 2026 performance summary for loganoz/horses3d: Delivered substantive enhancements to the acoustic solver and reinforced parallel CFD reliability. Key features include a six-variable Qbase for the acoustic solver with the last variable representing squared speed of sound, plus startup precomputation to boost accuracy and startup performance; and parallel solver robustness improvements with enhanced debugging and more reliable base-solution handling. Major bug fixes address MPI communication robustness in the CAA Riemann solver and MPI_Face storage handling to prevent runtime errors across processes. Overall impact: higher solution accuracy, reduced cross-process failures, and improved maintainability due to clearer parameter naming. Technologies/skills demonstrated include MPI-based parallel solver design, precomputation strategies, debugging instrumentation, and maintainability improvements.
September 2025 monthly summary for loganoz/horses3d: Focused on stability improvements and maintainability with a targeted bug fix in ExtractGeometry for sensor data handling. Implemented initialization of has_sensor to .FALSE. when the solution does not include sensor data, preventing execution errors in sensorless configurations and ensuring reliable operation across inputs. This change was introduced as a low-risk, focused fix with a clear commit reference to enable traceability: 87bdd90ce539f70d9e651350de6f8aa265ff0d5c.
September 2025 monthly summary for loganoz/horses3d: Focused on stability improvements and maintainability with a targeted bug fix in ExtractGeometry for sensor data handling. Implemented initialization of has_sensor to .FALSE. when the solution does not include sensor data, preventing execution errors in sensorless configurations and ensuring reliable operation across inputs. This change was introduced as a low-risk, focused fix with a clear commit reference to enable traceability: 87bdd90ce539f70d9e651350de6f8aa265ff0d5c.
July 2025 performance summary for loganoz/horses3d: Delivered four high-impact updates across sponge and actuator line components that improve numerical stability, actuation fidelity, and simulation performance, plus GPU readiness to support larger-scale HPC runs. Business value delivered includes more reliable sponge-based simulations, accurate actuator line actuation, faster per-timestep AL model computations, and GPU-enabled pathways enabling scalable experiments.
July 2025 performance summary for loganoz/horses3d: Delivered four high-impact updates across sponge and actuator line components that improve numerical stability, actuation fidelity, and simulation performance, plus GPU readiness to support larger-scale HPC runs. Business value delivered includes more reliable sponge-based simulations, accurate actuator line actuation, faster per-timestep AL model computations, and GPU-enabled pathways enabling scalable experiments.
April 2025 monthly summary for loganoz/horses3d: Focused on stabilizing CI, enabling data export in simulations, and advancing geometry handling. Delivered three major feature areas with targeted bug fixes, resulting in more reliable builds, richer simulation outputs, and more accurate FWH geometry modeling. This work enhances reproducibility, data analysis capabilities, and overall code quality in production CI and research simulations.
April 2025 monthly summary for loganoz/horses3d: Focused on stabilizing CI, enabling data export in simulations, and advancing geometry handling. Delivered three major feature areas with targeted bug fixes, resulting in more reliable builds, richer simulation outputs, and more accurate FWH geometry modeling. This work enhances reproducibility, data analysis capabilities, and overall code quality in production CI and research simulations.
March 2025 initiative across loganoz/horses3d delivered significant reliability and workflow improvements for large-mesh simulations, enhanced data analysis capabilities, and streamlined development processes. Key work focused on robust sensor data handling, default interpolation for Actuator Line, geometry accuracy fixes, and TEC source term post-processing, with targeted fixes to HexMesh and CI/test infrastructure to improve stability and developer throughput.
March 2025 initiative across loganoz/horses3d delivered significant reliability and workflow improvements for large-mesh simulations, enhanced data analysis capabilities, and streamlined development processes. Key work focused on robust sensor data handling, default interpolation for Actuator Line, geometry accuracy fixes, and TEC source term post-processing, with targeted fixes to HexMesh and CI/test infrastructure to improve stability and developer throughput.
February 2025 (loganoz/horses3d) focused on delivering stability and accuracy improvements to actuator-line simulations, while strengthening reliability through targeted bug fixes and test updates. Key outcomes include more consistent force calculations across iterations, robust restart handling for long file names, and enhanced numerical accuracy via updated discretization nodes. These efforts reduce design iteration cycles, improve reproducibility, and support higher-confidence design decisions in downstream projects.
February 2025 (loganoz/horses3d) focused on delivering stability and accuracy improvements to actuator-line simulations, while strengthening reliability through targeted bug fixes and test updates. Key outcomes include more consistent force calculations across iterations, robust restart handling for long file names, and enhanced numerical accuracy via updated discretization nodes. These efforts reduce design iteration cycles, improve reproducibility, and support higher-confidence design decisions in downstream projects.
January 2025 — loganoz/horses3d: Actuator Line Comprehensive Test Coverage delivered across NS, iNS, and Mu solvers. Added extensive test cases, mesh configurations, and control files to validate Actuator Line (AL) under multiple physical models and numerical schemes. No major bugs fixed this month. Business impact: enhances regression safety and reliability of AL simulations across multi-solver workflows, enabling faster validation of code changes and model updates. Technologies/skills demonstrated: test automation design, cross-solver validation, mesh and control-file management, and thorough documentation.
January 2025 — loganoz/horses3d: Actuator Line Comprehensive Test Coverage delivered across NS, iNS, and Mu solvers. Added extensive test cases, mesh configurations, and control files to validate Actuator Line (AL) under multiple physical models and numerical schemes. No major bugs fixed this month. Business impact: enhances regression safety and reliability of AL simulations across multi-solver workflows, enabling faster validation of code changes and model updates. Technologies/skills demonstrated: test automation design, cross-solver validation, mesh and control-file management, and thorough documentation.
December 2024 — Monthly performance summary for loganoz/horses3d: Implemented Immersed Boundary Method (IBM) source term integration for Incompressible Navier-Stokes (INCNS) and Multiphase solvers. The IBM source term is now computed and applied within the QDot arrays, with support for active IBM scenarios (non-moving boundaries). This port aligns with each solver’s conserved variables and does not yet include moving boundaries, wall models, or semi-implicit treatment. Commit 86c8176368990fa7fcb3f37e42f135a4df4468fb formalized the changes.
December 2024 — Monthly performance summary for loganoz/horses3d: Implemented Immersed Boundary Method (IBM) source term integration for Incompressible Navier-Stokes (INCNS) and Multiphase solvers. The IBM source term is now computed and applied within the QDot arrays, with support for active IBM scenarios (non-moving boundaries). This port aligns with each solver’s conserved variables and does not yet include moving boundaries, wall models, or semi-implicit treatment. Commit 86c8176368990fa7fcb3f37e42f135a4df4468fb formalized the changes.
November 2024: Delivered foundational Actuator Line (AL) capabilities for the Horses3D project by integrating AL into the Multiphase solver, stabilizing the AL module, and fixing critical NS source term handling. Focused on correctness, MPI reliability, and business value by enabling robust multiphase AL simulations, improved numerical accuracy, and cleaner, maintainable code.
November 2024: Delivered foundational Actuator Line (AL) capabilities for the Horses3D project by integrating AL into the Multiphase solver, stabilizing the AL module, and fixing critical NS source term handling. Focused on correctness, MPI reliability, and business value by enabling robust multiphase AL simulations, improved numerical accuracy, and cleaner, maintainable code.

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