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Tianyuan Wu

PROFILE

Tianyuan Wu

Worked on ROCm/composable_kernel and ROCm/vllm, focusing on GPU programming and high-performance computing for AMD platforms. Delivered WMMA-based GEMM support for GFX11/12 and Scale16 F4 WMMA for gfx1250, expanding hardware compatibility and improving performance for matrix operations. Addressed ROCm-specific bugs in model loading and backend selection, enhancing reliability and deployment stability. Used C++, Python, and CUDA to implement low-level optimizations, update build systems, and expand test coverage. Improved CI reliability by fixing build errors and restructuring tests. The work demonstrated depth in backend development, model optimization, and performance tuning for deep learning and machine learning workloads.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

8Total
Bugs
4
Commits
8
Features
2
Lines of code
2,707
Activity Months5

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026 monthly summary for ROCm/composable_kernel: Delivered Scale16 F4 WMMA support in CK Tile warp GEMM for gfx1250, with plumbing for Scale16 in the warp GEMM dispatcher and expanded gfx1250-specific test coverage. The change strengthens FP4 WMMA support on gfx1250 and improves test reliability for scale16 paths. Integrated via ROCm/rocm-libraries#7677 (commit 22a99f97e8e7d8eed03e0485035ce5dd9b9695ec). All related unit tests for the gfx1250 F4 WMMA path passed in verification.

August 2025

3 Commits • 1 Features

Aug 1, 2025

August 2025: Expanded ROCm/composable_kernel support for WMMA-based GEMM on GFX11/12, enabling FP16 and INT8 paths; introduced CK_TILE_USE_WMMA macro for consistent WMMA usage across GEMM examples and updated configurations accordingly. Also fixed a CI build issue for WarpGemmAttributeWmmaImpl on gfx11/gfx12 by adding necessary static constexpr members (kAMBlock, kBNBlock) to the trait implementations. These changes broaden hardware compatibility to newer AMD GPUs, enable potential performance gains for GEMM workloads, improve correctness of GEMM examples on GFX11/12, and strengthen CI reliability.

July 2025

1 Commits

Jul 1, 2025

July 2025 focused on refining ROCm/vllm integration by ensuring Triton MLA attention backend behaves correctly on the V1 engine, with improved platform support and regression coverage. The work stabilizes the attention backend, enabling reliable production workloads on ROCm/VLLM and reducing the risk of misrouting to an incorrect backend.

April 2025

2 Commits

Apr 1, 2025

April 2025 monthly summary for ROCm/vllm focusing on ROCm platform compatibility and performance stabilization for GGUF MoE. Targeted bug fixes and build configuration changes were delivered to ensure reliable model execution on ROCm and stable ROCm builds, reducing deployment risk and improving throughput across ROCm environments.

March 2025

1 Commits

Mar 1, 2025

March 2025 monthly summary for ROCm/vllm focused on stability and performance improvements in model loading workflows.

Activity

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Quality Metrics

Correctness95.0%
Maintainability85.0%
Architecture90.0%
Performance87.6%
AI Usage50.0%

Skills & Technologies

Programming Languages

C++CMakePython

Technical Skills

AMD ROCmBuild SystemsC++CI/CDCUDADeep LearningGEMMGPU ProgrammingHigh-Performance ComputingLow-Level OptimizationMachine LearningModel OptimizationPerformance OptimizationPythonWMMA

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

ROCm/vllm

Mar 2025 Jul 2025
3 Months active

Languages Used

PythonC++

Technical Skills

Machine LearningModel OptimizationPythonC++CUDADeep Learning

ROCm/composable_kernel

Aug 2025 May 2026
2 Months active

Languages Used

C++CMake

Technical Skills

AMD ROCmBuild SystemsC++CI/CDGEMMGPU Programming