
Worked on the ROCm/composable_kernel repository to deliver advanced quantization features for high-performance GPU workloads. Over three months, developed tensorwise and A/B quantization support for grouped GEMM operations, refactoring kernels and configuration to support multiple quantization modes and improve memory efficiency. Leveraged C++, CUDA, and template metaprogramming to optimize kernel performance and maintain code quality, introducing inline functions and enhancing test coverage. Focused on maintainability by updating examples, synchronizing tests, and applying formatting standards. These contributions enabled more flexible and efficient quantized inference and training paths, laying the groundwork for future performance improvements and broader quantization adoption.
Concise monthly summary for 2026-01 focusing on delivering quantization support in Blockscale Grouped GEMM within ROCm/composable_kernel, driving improved performance and flexibility for quantized workloads. Delivered A/B quantization support, updating the blockscale_grouped_gemm kernel, configuration, and examples, with attention to code quality through linting and formatting. Coordinated test alignment with origin/develop and cleaned up test code where needed. The work enhances customer value by enabling more efficient quantized inference and training paths, and sets a foundation for performance experimentation and broader adoption of quantized GEMM paths.
Concise monthly summary for 2026-01 focusing on delivering quantization support in Blockscale Grouped GEMM within ROCm/composable_kernel, driving improved performance and flexibility for quantized workloads. Delivered A/B quantization support, updating the blockscale_grouped_gemm kernel, configuration, and examples, with attention to code quality through linting and formatting. Coordinated test alignment with origin/develop and cleaned up test code where needed. The work enhances customer value by enabling more efficient quantized inference and training paths, and sets a foundation for performance experimentation and broader adoption of quantized GEMM paths.
Monthly performance summary for 2025-10: Delivered tensorwise quantization support for grouped GEMM in CK_TILE within ROCm/composable_kernel, along with a refactor to support tensor and row-column quantization modes. Added tests and utilities to validate functionality, updated test cases, and adjusted build/configuration. Fixed test and example issues to improve stability, and applied formatting and build improvements. The work enhances performance and memory efficiency for quantized workloads and broadens CK_TILE quantization coverage, contributing to maintainability and QA readiness.
Monthly performance summary for 2025-10: Delivered tensorwise quantization support for grouped GEMM in CK_TILE within ROCm/composable_kernel, along with a refactor to support tensor and row-column quantization modes. Added tests and utilities to validate functionality, updated test cases, and adjusted build/configuration. Fixed test and example issues to improve stability, and applied formatting and build improvements. The work enhances performance and memory efficiency for quantized workloads and broadens CK_TILE quantization coverage, contributing to maintainability and QA readiness.
September 2025 monthly summary focusing on key accomplishments and business impact for the ROCm/composable_kernel repository.
September 2025 monthly summary focusing on key accomplishments and business impact for the ROCm/composable_kernel repository.

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