
During November 2024, Erwin Johnson-Torres integrated CUDA toolkit support for CUSOLVER into the Trilinos repository, focusing on improving the build system’s robustness and maintainability. He refactored the existing CUDA/CUSOLVER workflow to leverage CMake’s find_package(CUDAToolkit) and the CUDA::cusolver target, which streamlined dependency detection and reduced manual configuration. This approach enhanced portability and made developer onboarding more straightforward across different platforms. By concentrating on build system engineering and CMake scripting, Erwin’s work improved continuous integration reliability and facilitated smoother delivery of CUDA-enabled features, demonstrating a thoughtful approach to cross-platform build challenges within a complex scientific computing codebase.
November 2024: Delivered CUDA toolkit integration for CUSOLVER in the Trilinos build, refactoring the CUDA/CUSOLVER workflow for robustness and easier maintenance. The build now uses CMake's find_package(CUDAToolkit) and the CUDA::cusolver target, improving detection, portability, and developer onboarding across platforms. This work reduces manual configuration, enhances CI reliability, and supports smoother delivery of CUDA-enabled features.
November 2024: Delivered CUDA toolkit integration for CUSOLVER in the Trilinos build, refactoring the CUDA/CUSOLVER workflow for robustness and easier maintenance. The build now uses CMake's find_package(CUDAToolkit) and the CUDA::cusolver target, improving detection, portability, and developer onboarding across platforms. This work reduces manual configuration, enhances CI reliability, and supports smoother delivery of CUDA-enabled features.

Overview of all repositories you've contributed to across your timeline