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
Dan Whittaker contributed to the uxlfoundation/oneDNN repository, focusing on the AArch64 backend to enhance stability and maintainability. He addressed a critical issue in the matrix multiplication path by refining memory requirement checks, using C++ to ensure zero-sized allocations were correctly detected and preventing potential allocation errors. Alongside this bug fix, Dan improved code quality by introducing const-correctness to member functions, which clarified API surfaces without altering existing behavior. His work leveraged skills in assembly, CPU optimization, and performance engineering, demonstrating a thoughtful approach to embedded systems development and a strong emphasis on long-term code maintainability and correctness.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
99
Activity Months1
Your Network
595 peopleSame Organization
@arm.com497
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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