oneapi-src/oneDNN
Jun 2025 – Aug 2025
2 Months active
Languages Used
C++
Technical Skills
Assembly programmingCPU OptimizationLibrary developmentLow-Level ProgrammingLow-level programmingRegression Testing
Anna Sztukowska
PROFILE
Anna Sztukowska
Anna Sztukowska contributed to the oneapi-src/oneDNN repository by expanding CPU backend support for mixed-precision workloads and improving numerical correctness in core primitives. She developed new data-type configurations for matrix multiplication and convolution, enabling broader precision-throughput options and enhancing performance for deep learning applications. Her work involved C++ and low-level programming, with a focus on CPU optimization and assembly. Anna also addressed edge-case bugs in binary addition and opmask handling, introducing regression tests to ensure stability and correctness. Her engineering demonstrated depth in performance engineering and library development, resulting in more reliable and flexible CPU computation paths for the project.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
88
Activity Months2
Your Network
1970 people
Work History
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for oneapi-src/oneDNN focusing on CPU backend data-type expansion for core primitives. Delivered two new data-type configurations for matmul and convolution/deconvolution, expanding supported destination types and enabling broader precision-throughput configurations. These changes improve applicability to mixed-precision workloads and potential performance for CPU workloads.
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for oneapi-src/oneDNN focusing on CPU backend data-type expansion for core primitives. Delivered two new data-type configurations for matmul and convolution/deconvolution, expanding supported destination types and enabling broader precision-throughput configurations. These changes improve applicability to mixed-precision workloads and potential performance for CPU workloads.
August 2025
June 2025
2 Commits
Jun 1, 2025June 2025 (2025-06) – Focused on stability, correctness, and test coverage in the oneDNN CPU path. No new feature releases this month; key progress centered on fixing edge-case numerical correctness and increasing opmask flexibility, with regression tests to prevent regressions. These changes improve reliability of CPU computations and simplify use of opmask in JIT codegen. Highlights include targeted bug fixes with clear business value: improved correctness for critical math paths and enhanced flexibility in mask handling, reducing potential runtime failures and ensuring predictable behavior across edge cases.
June 2025
2 Commits
Jun 1, 2025June 2025 (2025-06) – Focused on stability, correctness, and test coverage in the oneDNN CPU path. No new feature releases this month; key progress centered on fixing edge-case numerical correctness and increasing opmask flexibility, with regression tests to prevent regressions. These changes improve reliability of CPU computations and simplify use of opmask in JIT codegen. Highlights include targeted bug fixes with clear business value: improved correctness for critical math paths and enhanced flexibility in mask handling, reducing potential runtime failures and ensuring predictable behavior across edge cases.
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Quality Metrics
Correctness87.6%
Maintainability85.0%
Architecture80.0%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Assembly programmingCPU OptimizationDeep Learning FrameworksLibrary developmentLow-Level ProgrammingLow-level programmingMatrix MultiplicationPerformance EngineeringRegression TestingTesting
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