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fei.zheng

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Fei.zheng

Worked on the ROCm/rocprofiler-compute repository to address a key bug affecting the accuracy of compute profiling for VALU workloads. Focused on refining the calculation of active threads by updating the PoP of VALU Active Threads metric to use a dynamic wave_size rather than a fixed value, ensuring the peak reflects actual hardware behavior. Adjusted normalization logic to represent the average number of active threads per wave, improving the fidelity of performance analysis. Utilized Python and YAML for system configuration and profiling logic, contributing to more reliable performance insights and supporting users in optimizing compute-intensive applications. Fixed one critical bug.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
26
Activity Months1

Work History

November 2024

1 Commits

Nov 1, 2024

Month: 2024-11 — ROCm/rocprofiler-compute: Key bug fix enhancing profiling accuracy and reliability. Implemented PoP of VALU Active Threads calculation update using wave_size; peak is now dynamically set to wave_size, replacing the previous fixed 64. Normalization updated to reflect average active threads per wave size for accurate performance representation. This work improves profiling fidelity and informs optimization decisions for users deploying VALU workloads.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Compute ProfilingPerformance AnalysisSystem Configuration

Repositories Contributed To

1 repo

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ROCm/rocprofiler-compute

Nov 2024 Nov 2024
1 Month active

Languages Used

PythonYAML

Technical Skills

Compute ProfilingPerformance AnalysisSystem Configuration