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Bernard-Liu

PROFILE

Bernard-liu

Worked on the ROCm/aiter repository to enhance both quantization testing and model optimization capabilities. Developed expanded FP8 quantization test coverage for RMS normalization fused operations, updating the test framework to accept FP8 data types and validate correct results at FP8 precision. Later, introduced MM M3 Mixture-of-Experts tuning configurations, including specific 129/5 parameter sets, to optimize model execution and throughput. Leveraged C++, Python, CUDA, and PyTorch to implement these features, focusing on performance tuning and configuration-driven optimization. The work improved test reliability for FP8 inference and established a foundation for efficient MoE configuration experiments within the ROCm/aiter framework.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
186
Activity Months2

Work History

June 2026

1 Commits • 1 Features

Jun 1, 2026

June 2026 monthly summary for ROCm/aiter. Key features delivered: Introduced MM M3 MoE tuning configurations for the Aiter framework, including tuning parameters for the 129/5 configuration to optimize performance and model execution. Major bugs fixed: none reported this month. Overall impact: enabled more efficient MM M3 MoE inference and configuration-driven optimization, improving throughput and resource utilization for production workloads; lays groundwork for broader MoE tuning in future sprints. Technologies/skills demonstrated: MoE tuning, performance optimization, configuration management, ROCm/Aiter integration, commit-driven development with traceable changes (e.g., 2da35ecc44eedb6a3e3dc652e63d87d85cc7f161) and signed-off-by/co-authored patterns.

August 2025

1 Commits • 1 Features

Aug 1, 2025

Month: 2025-08 — Focused on expanding FP8 quantization test coverage for RMS normalization fused operations in ROCm/aiter. Delivered FP8 support validation by updating tests to accept FP8 data types and ensuring the fused RMS normalization path produces correct results with FP8 precision. Core changes are anchored by commit a60d25a9f06471cd9d62f29a70c14813943e9661 (add fp8 test for rms_fuse_quant (#715)). Impact includes reduced risk for FP8 deployments, improved confidence in FP8 inference, and stronger test coverage for a critical fused-ops path. Technologies/skills demonstrated include FP8 quantization, RMS normalization, fused-ops testing, test framework enhancements, and repository ROCm/aiter."

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

CUDAPerformance OptimizationPyTorchQuantizationTestingmachine_learningmodel_optimizationperformance_tuning

Repositories Contributed To

1 repo

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

ROCm/aiter

Aug 2025 Jun 2026
2 Months active

Languages Used

C++Python

Technical Skills

CUDAPerformance OptimizationPyTorchQuantizationTestingmachine_learning