oneapi-src/oneDNN
Jun 2025 – Apr 2026
6 Months active
Languages Used
C++Markdown
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 developing and optimizing core CPU backend features over six months. She expanded matrix multiplication and convolution primitives to support new data type configurations, enabling mixed-precision and higher-throughput workloads. Her work included low-level C++ and assembly programming to improve memory efficiency and correctness in matrix operations, such as enabling non-trivial strides and refining tensor layout handling. Anna also enhanced documentation for benchmarking tools and stabilized regression tests, ensuring reliable performance and usability. Her technical approach demonstrated depth in CPU architecture, performance engineering, and robust testing, resulting in more flexible and dependable deep learning primitives.
Overall Statistics
Feature vs Bugs
56%Features
Repository Contributions
9Total
Bugs
4
Commits
9
Features
5
Lines of code
539
Activity Months6
Your Network
2112 peopleSame Organization
@intel.com2035
Work History
April 2026
2 Commits
Apr 1, 2026April 2026 monthly summary for oneDNN (oneapi-src/oneDNN). This period focused on stabilizing test outputs and ensuring correct tensor layouts in core CPU matmul paths. There were no new user-facing features delivered this month; the emphasis was on bug fixes that improve reliability, test readability, and correctness in performance-critical components. The changes reduce noise in CI and improve confidence in benchmarking results.
2 Commits
Apr 1, 2026April 2026 monthly summary for oneDNN (oneapi-src/oneDNN). This period focused on stabilizing test outputs and ensuring correct tensor layouts in core CPU matmul paths. There were no new user-facing features delivered this month; the emphasis was on bug fixes that improve reliability, test readability, and correctness in performance-critical components. The changes reduce noise in CI and improve confidence in benchmarking results.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026Month: 2026-03 – Delivered a targeted performance optimization in oneDNN by enabling non-trivial strides in the binary injector for per_mb_spatial broadcasting. This change improves memory operation efficiency during matrix multiplications, contributing to higher throughput on x64 CPU backends. Implemented in oneapi-src/oneDNN with commit daa6b552c4465dfa799cef1357ba58b61c2106bf, and lays groundwork for broader broadcasting pattern optimizations in the CPU path.
March 2026
1 Commits • 1 Features
Mar 1, 2026Month: 2026-03 – Delivered a targeted performance optimization in oneDNN by enabling non-trivial strides in the binary injector for per_mb_spatial broadcasting. This change improves memory operation efficiency during matrix multiplications, contributing to higher throughput on x64 CPU backends. Implemented in oneapi-src/oneDNN with commit daa6b552c4465dfa799cef1357ba58b61c2106bf, and lays groundwork for broader broadcasting pattern optimizations in the CPU path.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for oneDNN: Key feature delivered: flexible data type support for reference pooling on CPU, enabling different data types for src and dst. Major bugs fixed: none reported this month. Overall impact: expands workload compatibility, reduces data-type conversions, and paves the way for performance improvements in mixed-precision scenarios. Technologies/skills demonstrated: cross-dtype data handling in the CPU pooling path, reference pooling, and commit-driven development (commit 22bdd09d01c844e24b39bb1e9dc956e40dbed080).
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for oneDNN: Key feature delivered: flexible data type support for reference pooling on CPU, enabling different data types for src and dst. Major bugs fixed: none reported this month. Overall impact: expands workload compatibility, reduces data-type conversions, and paves the way for performance improvements in mixed-precision scenarios. Technologies/skills demonstrated: cross-dtype data handling in the CPU pooling path, reference pooling, and commit-driven development (commit 22bdd09d01c844e24b39bb1e9dc956e40dbed080).
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025In November 2025, oneDNN contributed a targeted documentation improvement to clarify the pool driver --dt option. The change ensures that --dt applies to both the source and destination data types and removes outdated references to weights, reducing user confusion and support overhead. The update aligns with benchdnn documentation and enhances overall usability for benchmarking and integration.
November 2025
1 Commits • 1 Features
Nov 1, 2025In November 2025, oneDNN contributed a targeted documentation improvement to clarify the pool driver --dt option. The change ensures that --dt applies to both the source and destination data types and removes outdated references to weights, reducing user confusion and support overhead. The update aligns with benchdnn documentation and enhances overall usability for benchmarking and integration.
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.
Activity
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Quality Metrics
Correctness92.2%
Maintainability86.6%
Architecture86.6%
Performance90.0%
AI Usage22.2%
Skills & Technologies
Programming Languages
C++Markdown
Technical Skills
Assembly programmingC++CPU OptimizationCPU architectureDeep Learning FrameworksLibrary developmentLow-Level ProgrammingLow-level programmingMatrix MultiplicationPerformance EngineeringRegression TestingTestingalgorithm optimizationdata structure managementdocumentation
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