uxlfoundation/oneDNN
Sep 2025 – Sep 2025
1 Month active
Languages Used
C++
Technical Skills
AssemblyCPU OptimizationEmbedded SystemsLow-Precision Matrix MultiplicationPerformance Engineering
Daniel Whittaker
PROFILE
Daniel Whittaker
Worked on the uxlfoundation/oneDNN repository, focusing on enhancing the stability and maintainability of the AArch64 backend. Addressed a critical issue in the matrix multiplication path by refining memory requirement checks, using the empty() method to accurately detect zero-sized allocations and prevent allocation errors. Improved code quality by introducing const-correctness to member functions, resulting in a cleaner and more maintainable API surface without altering existing behavior. Leveraged expertise in C++, assembly, and CPU optimization to deliver these changes, with an emphasis on embedded systems and low-precision matrix multiplication. The work prioritized robust, maintainable code and precise resource management.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
99
Activity Months1
Your Network
636 peopleSame Organization
@arm.com538
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Focused on stability and maintainability in the oneDNN AArch64 path. Delivered a critical bug fix for memory requirement checks and implemented code quality improvements to const-correctness, resulting in cleaner API surfaces without altering behavior.
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Focused on stability and maintainability in the oneDNN AArch64 path. Delivered a critical bug fix for memory requirement checks and implemented code quality improvements to const-correctness, resulting in cleaner API surfaces without altering behavior.
September 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
AssemblyCPU OptimizationEmbedded SystemsLow-Precision Matrix MultiplicationPerformance Engineering
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