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Cen Zhao

PROFILE

Cen Zhao

Cen Zhao developed a CUDA Graphs Benchmarking Mode for the facebookresearch/param repository, introducing a standardized workflow for GPU performance analysis. Using Python and leveraging CUDA and distributed systems expertise, Cen implemented a new argument to enable graph-based benchmarking, which captures and replays CUDA operations through a defined sequence of warmup, graph capture, and replay. The solution included device gating for CUDA and ROCm compatibility and addressed asynchronous operation handling to ensure reliable measurements. This work established a reproducible benchmarking process, enabling cross-hardware performance comparisons and supporting faster optimization cycles, reflecting a deep understanding of performance optimization and benchmarking challenges.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
89
Activity Months1

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025 summary for facebookresearch/param: Implemented CUDA Graphs Benchmarking Mode to standardize GPU benchmarking and enable reproducible performance analysis. Added a new --graph_launches argument to enable CUDA graph mode featuring a warmup, graph capture, and replay workflow. Ensured CUDA/ROCm device compatibility and addressed potential issues with asynchronous operations to improve measurement reliability. This work lays the foundation for cross-platform performance comparisons and faster optimization cycles.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

BenchmarkingCUDADistributed SystemsPerformance Optimization

Repositories Contributed To

1 repo

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

facebookresearch/param

Mar 2025 Mar 2025
1 Month active

Languages Used

Python

Technical Skills

BenchmarkingCUDADistributed SystemsPerformance Optimization

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