madeline-underwood/arm-learning-paths
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
cross-compilationmachine learningmodel benchmarkingperformance optimizationquantization
Qixiang Xu
PROFILE
Qixiang Xu
Qixiang Xu developed a comprehensive KleidiAI Performance Benchmarking Guide within the madeline-underwood/arm-learning-paths repository, focusing on benchmarking micro-kernels in the ExecuTorch framework for ARM64. The work involved setting up the environment, implementing cross-compilation workflows, and creating models for common neural network layers with an emphasis on quantization and specialized kernel support. Using Python and leveraging skills in machine learning and performance optimization, Qixiang standardized documentation to streamline performance tuning and facilitate knowledge transfer. The guide addressed the need for reproducible benchmarking processes, providing a clear walkthrough for evaluating and optimizing micro-kernel performance in ARM64-based machine learning deployments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,143
Activity Months1
Your Network
650 peopleSame Organization
@arm.com521
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a comprehensive KleidiAI Performance Benchmarking Guide for ExecuTorch on ARM64, covering environment setup, cross-compilation, and model creation for common neural network layers with emphasis on quantization and specialized kernel support to drive optimal performance.
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a comprehensive KleidiAI Performance Benchmarking Guide for ExecuTorch on ARM64, covering environment setup, cross-compilation, and model creation for common neural network layers with emphasis on quantization and specialized kernel support to drive optimal performance.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
cross-compilationmachine learningmodel benchmarkingperformance optimizationquantization
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