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yijin

PROFILE

Yijin

Worked on the ROCm/aiter repository to deliver high-performance kernel features for gated delta networks, focusing on both forward and prefill paths across HIP, Triton, and FlyDSL backends. Developed optimized kernels supporting variable-length and indexed hidden state pools, enabling efficient sequence processing and improved memory scalability. Introduced autotuning and layout configuration options to enhance cross-hardware compatibility, while adding bf16 support and refining code structure for maintainability. Leveraged C++, CUDA, and Python to implement backend fusion and functional tests, ensuring reliability and throughput improvements. Prioritized code quality and cross-backend support, laying a foundation for future hardware and performance enhancements.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
4
Lines of code
11,647
Activity Months3

Work History

July 2026

1 Commits • 1 Features

Jul 1, 2026

In July 2026, ROCm/aiter delivered support for indexed hidden state pools in the gated delta rule prefill kernel for Triton and HIP backends. The change enables sequences to gather initial states from a shared pool and perform in-place updates, with kernel changes, API updates, and functional tests ensuring correctness across backends. Additionally, kernel work included Triton VK adjustments and HIP API order fixes. No major bugs were reported this month; the focus was on feature enablement and cross-backend reliability, delivering memory efficiency and scalability improvements for stateful sequence processing.

June 2026

2 Commits • 2 Features

Jun 1, 2026

June 2026 ROCm/aiter monthly summary focusing on GDN performance and multi-backend kernel delivery. Delivered key kernel improvements for GDN forward paths and prefill paths across HIP, Triton, and FlyDSL backends; added bf16 support for state tensors and improved architecture compatibility. Resulted in higher throughput, reduced latency for GDN workloads, and a stronger multi-backend foundation for future hardware platforms.

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026 ROCm/aiter monthly summary focusing on performance optimization and maintainability for GDN prefill in qwen3_5. Delivered optimized prefill kernels, introduced support for variable-length inputs, and added autotuning and layout configuration options to improve cross-hardware performance. Implemented ssm_state vk_layout kernels for VLLM compatibility and set Triton autotune to a safe default to minimize regressions. These changes enhance throughput, broaden hardware support, and provide a clearer path for future autotuning, while maintaining code quality across the kernel surface.

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture90.0%
Performance90.0%
AI Usage70.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Backend DevelopmentC++CUDADeep LearningFlyDSLGPGPUGPU ProgrammingHIPHigh Performance ComputingMachine LearningPyTorchPythonTriton

Repositories Contributed To

1 repo

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

ROCm/aiter

Apr 2026 Jul 2026
3 Months active

Languages Used

PythonC++

Technical Skills

CUDADeep LearningGPU ProgrammingMachine LearningTritonC++