
Sandra Polifroni contributed to the ROCm/rpp and ROCm/composable_kernel repositories by delivering targeted feature expansions and release documentation over a two-month period. She updated changelogs and streamlined dependencies for RPP 6.3, introducing features such as Tensor Box Filter and audio support while optimizing CI test suites using Markdown. For composable_kernel, Sandra implemented and documented the 7.1 feature rollout, adding support for Multiple ABD GEMM, benchmarking, and quantization methods, and enforcing API deprecations to align with evolving hardware requirements. Her work demonstrated proficiency in C++, CUDA kernel development, and release engineering, providing clear documentation and technical direction for future releases.
October 2025 (2025-10) monthly summary for ROCm/composable_kernel: - Key features delivered: Composable Kernel 7.1 feature rollout with expanded capabilities and deprecations, including support for Multiple ABD GEMM, benchmarking, block scaling, various quantization methods, f32 to FMHA, batched contraction, and pooling kernels. Performance optimizations implemented in GEMM and transpose. - Major bugs fixed: None reported in this period. - API/maintenance: Deprecations implemented (removal of BlockSize for Wave32 support and deprecation of non-grouped convolutions) to align with 7.1 roadmap; changelog updated to capture 7.1 scope and beyond. - Overall impact and business value: Enables broader workload support and higher throughput with optimized kernels, improving customer performance and readiness for future hardware; reduces maintenance burden through clearer API direction and documented progress. - Technologies/skills demonstrated: C++/CUDA kernel development, ROCm kernel optimizations, benchmarking, API deprecation planning, changelog maintenance.
October 2025 (2025-10) monthly summary for ROCm/composable_kernel: - Key features delivered: Composable Kernel 7.1 feature rollout with expanded capabilities and deprecations, including support for Multiple ABD GEMM, benchmarking, block scaling, various quantization methods, f32 to FMHA, batched contraction, and pooling kernels. Performance optimizations implemented in GEMM and transpose. - Major bugs fixed: None reported in this period. - API/maintenance: Deprecations implemented (removal of BlockSize for Wave32 support and deprecation of non-grouped convolutions) to align with 7.1 roadmap; changelog updated to capture 7.1 scope and beyond. - Overall impact and business value: Enables broader workload support and higher throughput with optimized kernels, improving customer performance and readiness for future hardware; reduces maintenance burden through clearer API direction and documented progress. - Technologies/skills demonstrated: C++/CUDA kernel development, ROCm kernel optimizations, benchmarking, API deprecation planning, changelog maintenance.
ROCm/rpp — October 2024 monthly summary focused on release engineering and feature expansion for RPP 6.3, with an emphasis on business value, cross-backend capabilities, and CI improvements.
ROCm/rpp — October 2024 monthly summary focused on release engineering and feature expansion for RPP 6.3, with an emphasis on business value, cross-backend capabilities, and CI improvements.

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