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
During this period, contributed to the oneapi-src/oneDNN repository by developing a JIT-compiled int8 matrix multiplication kernel targeting the aarch64 architecture. This work focused on accelerating 8-bit deep learning workloads on ARM by leveraging low-level programming techniques and CPU optimization strategies. The implementation involved writing performance-critical code in C++ and assembly, introducing new format tags and type definitions to support efficient data handling within the kernel. The feature was delivered as a complete code submission, prepared for review, and addressed the need for faster matrix operations in deep learning applications on ARM platforms, demonstrating depth in both optimization and architecture-specific development.
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
120 peopleWork 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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