
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, streamlining detection and integration of CUDA dependencies. This approach reduced manual configuration steps and enhanced portability across platforms, making it easier for developers to onboard and maintain CUDA-enabled features. By concentrating on build system improvements and CMake scripting, Erwin’s work addressed reliability in continuous integration and supported smoother delivery of CUDA-dependent components within the Trilinos project’s development pipeline.

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.
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