
In October 2025, Haydar Mehryar enhanced the SurfaceFinder module in the JETSCAPE repository by introducing OpenMP-based parallel optimization and refactoring hypersurface detection for 3D and 4D heavy-ion collision simulations. This work improved computational throughput and scalability, directly supporting faster model validation cycles. Haydar also resolved unit test configuration issues and addressed CMake build system merge conflicts, ensuring reliable test registration and execution within continuous integration workflows. Using C++, CMake, and OpenMP, Haydar’s contributions strengthened the stability and maintainability of the codebase, reducing integration risk and enabling more efficient scientific computing development for the JETSCAPE project.

In Oct 2025, delivered performance-focused enhancements to SurfaceFinder in JETSCAPE and stabilized the unit test/build workflow. The SurfaceFinder work introduced OpenMP-based parallel optimization and a refactor to improve hypersurface detection in 3D/4D heavy-ion collision simulations, increasing throughput and scalability. Two critical fix commits addressed unit test configuration and CMake build-system merge conflicts, ensuring tests are properly registered and executable. Overall, this work tightened CI reliability, reduced merge friction, and enabled faster model validation and iteration. Technologies demonstrated include OpenMP parallelism, C++, and CMake-based build optimization.
In Oct 2025, delivered performance-focused enhancements to SurfaceFinder in JETSCAPE and stabilized the unit test/build workflow. The SurfaceFinder work introduced OpenMP-based parallel optimization and a refactor to improve hypersurface detection in 3D/4D heavy-ion collision simulations, increasing throughput and scalability. Two critical fix commits addressed unit test configuration and CMake build-system merge conflicts, ensuring tests are properly registered and executable. Overall, this work tightened CI reliability, reduced merge friction, and enabled faster model validation and iteration. Technologies demonstrated include OpenMP parallelism, C++, and CMake-based build optimization.
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