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Liyan Chen

PROFILE

Liyan Chen

Developed mixed-precision compute support for the HazyResearch/ThunderKittens repository, focusing on efficient matrix operations for machine learning workloads. The work centered on implementing Matrix Multiply-Accumulate (MMA) functionality using CUDA and C++, enabling FP16 inputs with FP32 accumulators to accelerate inference and training tasks. Four foundational MMA functions were introduced, each leveraging low-precision arithmetic and the mma.sync.aligned instruction to optimize GPU performance. Comprehensive unit tests were added to ensure correctness and reliability of the new operations. This contribution established a robust foundation for future performance improvements in matrix multiplication workflows, emphasizing both technical depth and maintainable code quality.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
295
Activity Months1

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025 (2025-03) for HazyResearch/ThunderKittens focused on delivering high-value mixed-precision compute support and reinforcing test coverage. The MMA enhancements lay groundwork for faster matrix operations in FP16 workflows, directly benefiting downstream ML workloads and inference performance.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CUDA

Technical Skills

CUDAGPU ProgrammingLow-Precision ArithmeticMatrix MultiplicationPerformance Optimization

Repositories Contributed To

1 repo

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

HazyResearch/ThunderKittens

Mar 2025 Mar 2025
1 Month active

Languages Used

C++CUDA

Technical Skills

CUDAGPU ProgrammingLow-Precision ArithmeticMatrix MultiplicationPerformance Optimization