oneapi-src/oneDNN
Sep 2025 – Sep 2025
1 Month active
Languages Used
C++
Technical Skills
ARM ArchitectureCPU OptimizationEmbedded SystemsLow Precision ArithmeticMachine Learning LibrariesMatrix Multiplication
almayne
PROFILE
Almayne
Anna Mayne delivered stateless ACL execution improvements for aarch64 in the oneapi-src/oneDNN repository, focusing on enabling stateless inner product and fully connected operations through the CpuFullyConnected interface. She refactored the ACL inner product implementation to improve resource management and transitioned low-precision matrix multiplication static quantization to stateless operations with enhanced memory handling. Working primarily in C++ and leveraging her expertise in ARM architecture and performance engineering, Anna’s contributions reduced memory footprint and improved portability. Her work addressed the need for scalable deployment on aarch64 platforms, demonstrating a deep understanding of embedded systems and low precision arithmetic optimization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
779
Activity Months1
Your Network
486 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Delivered stateless ACL execution improvements for aarch64 in oneDNN, enabling stateless inner product and fully connected operations via CpuFullyConnected, along with refactoring of ACL inner product for improved resource management. Also refactored lowp matmul static quantization to stateless operations with better memory handling. These changes enhance portability, reduce memory footprint, and pave the way for scalable deployment on aarch64.
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Delivered stateless ACL execution improvements for aarch64 in oneDNN, enabling stateless inner product and fully connected operations via CpuFullyConnected, along with refactoring of ACL inner product for improved resource management. Also refactored lowp matmul static quantization to stateless operations with better memory handling. These changes enhance portability, reduce memory footprint, and pave the way for scalable deployment on aarch64.
September 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
ARM ArchitectureCPU OptimizationEmbedded SystemsLow Precision ArithmeticMachine Learning LibrariesMatrix MultiplicationPerformance EngineeringQuantization
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