
Beatriz contributed to the ROCm/rocm-examples repository by delivering compatibility updates and feature enhancements focused on GPU computing workflows. She updated build systems and CI/CD pipelines to support ROCm 6.3.0, removing deprecated patches and ensuring seamless installation of dependencies like hipblas-common. Addressing cross-version issues, she fixed symbol handling in assembly and LLVM IR examples for ROCm 6.2.2, improving build and runtime reliability. In December, Beatriz modernized the matrix transpose kernel by replacing deprecated CUDA intrinsics with __shfl_sync and adding conditional compilation, maintaining correctness across CUDA toolchains. Her work leveraged C++, CMake, and low-level programming expertise.

December 2024 monthly summary for ROCm/rocm-examples focusing on delivering cross-version CUDA compatibility for matrix transpose operations. Implemented a critical feature to update the Warp Shuffle intrinsic usage to maintain correctness and performance across CUDA toolchains, while preserving warp shuffle functionality in matrix transposition.
December 2024 monthly summary for ROCm/rocm-examples focusing on delivering cross-version CUDA compatibility for matrix transpose operations. Implemented a critical feature to update the Warp Shuffle intrinsic usage to maintain correctness and performance across CUDA toolchains, while preserving warp shuffle functionality in matrix transposition.
Concise monthly summary for 2024-11 focusing on business value and technical achievements for ROCm-examples. Delivered key ROCm 6.3.0 compatibility improvements, fixed 6.2.2-related issues, and stabilized Windows CI to improve reliability and customer experience.
Concise monthly summary for 2024-11 focusing on business value and technical achievements for ROCm-examples. Delivered key ROCm 6.3.0 compatibility improvements, fixed 6.2.2-related issues, and stabilized Windows CI to improve reliability and customer experience.
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