oneapi-src/oneDNN
Feb 2025 – Feb 2025
1 Month active
Languages Used
AssemblyC++
Technical Skills
ARM ArchitectureCPU OptimizationDeep Learning OptimizationJIT CompilationLow-Level ProgrammingMatrix Multiplication
Shreyas-fuj
PROFILE
Shreyas-fuj
Shreyas Shankar developed a JIT-compiled int8 matrix multiplication kernel for aarch64 within the oneapi-src/oneDNN repository, targeting acceleration of 8-bit deep learning workloads on ARM architectures. Leveraging expertise in ARM architecture, low-level programming, and CPU optimization, Shreyas implemented the kernel in C++ and assembly, focusing on efficient data handling and execution. The work included introducing new format tags and type definitions to support the kernel’s integration and performance. Delivered as a complete feature and prepared for review, this contribution addressed the need for optimized matrix operations on ARM, demonstrating depth in both deep learning optimization and JIT compilation techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,097
Activity Months1
Your Network
46 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 highlighting key features delivered, major fixes (if any), and overall impact for oneapi-src/oneDNN.
1 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 highlighting key features delivered, major fixes (if any), and overall impact for oneapi-src/oneDNN.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
AssemblyC++
Technical Skills
ARM ArchitectureCPU OptimizationDeep Learning OptimizationJIT CompilationLow-Level ProgrammingMatrix Multiplication
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