uxlfoundation/oneDNN
Nov 2024 – May 2025
2 Months active
Languages Used
ShellC++
Technical Skills
CI/CDShell ScriptingTestingARM ArchitectureCPU OptimizationEmbedded Systems
Ye Tao
PROFILE
Ye Tao
Ye Tao contributed to the uxlfoundation/oneDNN repository by engineering targeted improvements for AArch64 platforms, focusing on both CI workflow reliability and low-precision matrix multiplication. In one project, Ye consolidated and clarified test skip patterns in the GitHub Actions pipeline using Shell scripting, which reduced CI flakiness and improved feedback speed for developers. Separately, Ye refactored the ACL MatMul path in C++ to introduce a stateless interface and migrate to experimental ACL operators, enhancing resource management and maintainability on ARM CPUs. These efforts addressed architectural limitations, streamlined integration with vendor libraries, and laid groundwork for future performance optimizations in embedded systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
332
Activity Months2
Your Network
582 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered the ACL MatMul Refactor for uxlfoundation/oneDNN, introducing a stateless ACL interface for low-precision matmul and migrating to ACL's experimental operators. Updated configuration and execution logic to improve resource management on CPU targets, specifically aarch64, enabling smoother integration with ACL updates and laying groundwork for potential performance gains. The work enhances maintainability, traceability, and alignment with vendor-backed optimization paths.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered the ACL MatMul Refactor for uxlfoundation/oneDNN, introducing a stateless ACL interface for low-precision matmul and migrating to ACL's experimental operators. Updated configuration and execution logic to improve resource management on CPU targets, specifically aarch64, enabling smoother integration with ACL updates and laying groundwork for potential performance gains. The work enhances maintainability, traceability, and alignment with vendor-backed optimization paths.
May 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for uxlfoundation/oneDNN focusing on CI reliability and efficiency for AArch64. Delivered consolidated skip patterns and clarified reasons for skipping tests in the CI workflow, reducing flaky runs and unnecessary compute; prepared matmul tests for release builds; documented changes to improve maintainability and feedback speed.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for uxlfoundation/oneDNN focusing on CI reliability and efficiency for AArch64. Delivered consolidated skip patterns and clarified reasons for skipping tests in the CI workflow, reducing flaky runs and unnecessary compute; prepared matmul tests for release builds; documented changes to improve maintainability and feedback speed.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Shell
Technical Skills
ARM ArchitectureCI/CDCPU OptimizationEmbedded SystemsMachine Learning LibrariesPerformance EngineeringShell ScriptingTesting
Repositories Contributed To
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