
Developed a high-performance GEMM backend for the ROCm/aiter repository, focusing on the gfx942 architecture with bf16 support and multi-path optimizations. The work involved implementing a full a16w16 bf16 GEMM pipeline, introducing per-architecture dispatch and runtime routing to support both gfx942 and gfx950. Leveraging C++, CUDA, and HIP, the developer engineered new split-K and WKC execution paths, added robust fallback mechanisms for split-K reductions, and refactored code generation into modular, architecture-specific components. Comprehensive validation, including op_tests and parity sweeps, ensured reliability and performance, while updated bf16 tuning configurations enabled faster, more consistent deployment across diverse machine learning workloads.
June 2026 performance month focused on delivering a high-impact, multi-path gfx942 Opus GEMM backend with bf16 support, plus a strategic codegen refactor and robust validation across architectures. Key outcomes include a16w16 bf16 GEMM full pipeline family with per-arch dispatch and runtime arch routing, new split-K and WKC paths, and bf16 tuning updates for DSV4 workloads. Implemented a safe fallback for split-K reductions to preserve correctness and performance. Refactored codegen to move per-arch logic into dedicated arch modules, reducing overall complexity and improving maintainability. Achieved end-to-end multi-arch validation (gfx942/gfx950), successful op_tests, and parity sweep coverage. Updated per-model bf16 tuning configurations for gfx942, enabling faster deployment and more reliable performance across models. Business value: higher performance, broader hardware support (gfx942/gfx950), improved reliability and faster CI-driven deployments. Technologies/skills demonstrated: CUDA/HIP kernel development, GEMM/MFMA optimization, split-K and WKC path engineering, BF16 tuning, per-arch codegen, runtime arch routing, cross-arch validation, and build/config management.
June 2026 performance month focused on delivering a high-impact, multi-path gfx942 Opus GEMM backend with bf16 support, plus a strategic codegen refactor and robust validation across architectures. Key outcomes include a16w16 bf16 GEMM full pipeline family with per-arch dispatch and runtime arch routing, new split-K and WKC paths, and bf16 tuning updates for DSV4 workloads. Implemented a safe fallback for split-K reductions to preserve correctness and performance. Refactored codegen to move per-arch logic into dedicated arch modules, reducing overall complexity and improving maintainability. Achieved end-to-end multi-arch validation (gfx942/gfx950), successful op_tests, and parity sweep coverage. Updated per-model bf16 tuning configurations for gfx942, enabling faster deployment and more reliable performance across models. Business value: higher performance, broader hardware support (gfx942/gfx950), improved reliability and faster CI-driven deployments. Technologies/skills demonstrated: CUDA/HIP kernel development, GEMM/MFMA optimization, split-K and WKC path engineering, BF16 tuning, per-arch codegen, runtime arch routing, cross-arch validation, and build/config management.

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