ROCm/composable_kernel
May 2026 – Jun 2026
2 Months active
Languages Used
C++Python
Technical Skills
C++ developmentGPU programmingNumerical optimizationParallel computingPython scriptingperformance optimization
Chao
PROFILE
Chao
Contributed to ROCm/composable_kernel by developing performance optimizations for FMHA forward paths, focusing on GPU programming and numerical optimization in C++ and Python. Introduced a runtime-toggle for V3 persistent kernel dispatch on gfx950, enabling faster prefill workloads while maintaining stability on the decode path. Addressed numerical instability in O-accumulator rescaling by implementing per-row corrections, ensuring accurate softmax normalization for long sequences. Delivered a host-side Pack-GQA optimization that reshapes Q tensors to improve processing efficiency without kernel changes. All enhancements were validated across multiple architectures and configurations, with comprehensive automated test coverage and no regressions on default or existing workloads.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
952
Activity Months2
Your Network
101 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/composable_kernel: Key features delivered, major bugs fixed, impact, and technologies demonstrated. Focused on FMHA forward path performance optimization with host-side Pack-GQA in CK Tile, backed by automated test coverage and cross-architecture validation.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for ROCm/composable_kernel: Key features delivered, major bugs fixed, impact, and technologies demonstrated. Focused on FMHA forward path performance optimization with host-side Pack-GQA in CK Tile, backed by automated test coverage and cross-architecture validation.
June 2026
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 performance-focused contributions to ROCm/composable_kernel (ROCm/composable_kernel). Delivered a runtime-toggle for V3 persistent kernel dispatch for FMHA forward on gfx950 (CK_FMHA_ENABLE_V3) and accompanying CK_TILE FMHA codegen updates, enabling a faster prefill path while keeping the decode path on V2. Implemented with minimal user-facing changes and validated across MI350X gfx950 (ROCm 7.0) and MI300X gfx942 (ROCm 6.4.1). Per-benchmark results show substantial throughput improvements across representative workloads, with strong validation coverage and no regressions on the default V2 path. Also fixed numerical instability in the conditional O-accumulator rescaling optimization for CK-Tile FMHA forward, introducing a per-row correction to ensure correct softmax normalization on long sequences, and validated across FP16/BF16 workloads. All validation tests pass; performance gains are robust and artifacts are isolated to the V3 path, with decode path unaffected. Co-authored by Chao Zhou and Po Yen Chen.
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 performance-focused contributions to ROCm/composable_kernel (ROCm/composable_kernel). Delivered a runtime-toggle for V3 persistent kernel dispatch for FMHA forward on gfx950 (CK_FMHA_ENABLE_V3) and accompanying CK_TILE FMHA codegen updates, enabling a faster prefill path while keeping the decode path on V2. Implemented with minimal user-facing changes and validated across MI350X gfx950 (ROCm 7.0) and MI300X gfx942 (ROCm 6.4.1). Per-benchmark results show substantial throughput improvements across representative workloads, with strong validation coverage and no regressions on the default V2 path. Also fixed numerical instability in the conditional O-accumulator rescaling optimization for CK-Tile FMHA forward, introducing a per-row correction to ensure correct softmax normalization on long sequences, and validated across FP16/BF16 workloads. All validation tests pass; performance gains are robust and artifacts are isolated to the V3 path, with decode path unaffected. Co-authored by Chao Zhou and Po Yen Chen.
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentGPU programmingNumerical optimizationParallel computingPython scriptingperformance optimization
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