oneapi-src/oneDNN
Feb 2026 – Mar 2026
2 Months active
Languages Used
CC++Python
Technical Skills
C/C++ developmentmachine learningneural networksperformance optimizationperformance testingtesting
Primak, Tatyana
PROFILE
Primak, Tatyana
Tatyana Primak enhanced the oneapi-src/oneDNN repository by expanding and refining the benchdnn performance test suite over a two-month period. She implemented the cleanup of outdated performance input files and introduced new neural network model configurations, including support for transformer workloads such as LLaMA 3 and Vision Transformer. Using C, C++, and Python, Tatyana focused on improving benchmarking accuracy and reducing maintenance overhead, enabling more representative and efficient performance testing for AI workloads. Her work emphasized data analysis, machine learning, and performance optimization, resulting in a deeper, more maintainable benchmarking framework without addressing bug fixes during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
386
Activity Months2
Your Network
2112 peopleSame Organization
@intel.com2035
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (oneDNN repo: oneapi-src/oneDNN) focused on expanding benchmarking coverage for transformer workloads in the benchdnn suite. Key initiative delivered: input files for LLaMA 3 and Vision Transformer to enhance performance testing visibility across modern models. No major bugs fixed in this period within the scope of benchdnn inputs. The changes are tracked via a single commit and provide traceability for future benchmarking work.
1 Commits • 1 Features
Mar 1, 2026March 2026 (oneDNN repo: oneapi-src/oneDNN) focused on expanding benchmarking coverage for transformer workloads in the benchdnn suite. Key initiative delivered: input files for LLaMA 3 and Vision Transformer to enhance performance testing visibility across modern models. No major bugs fixed in this period within the scope of benchdnn inputs. The changes are tracked via a single commit and provide traceability for future benchmarking work.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for oneapi-src/oneDNN focusing on Benchdnn Performance Test Suite Enhancements. Implemented cleanup of outdated performance input files and added new neural network model configurations to broaden benchdnn coverage. These changes improve benchmarking accuracy, reduce maintenance overhead, and support faster performance tuning for AI workloads.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for oneapi-src/oneDNN focusing on Benchdnn Performance Test Suite Enhancements. Implemented cleanup of outdated performance input files and added new neural network model configurations to broaden benchdnn coverage. These changes improve benchmarking accuracy, reduce maintenance overhead, and support faster performance tuning for AI workloads.
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Python
Technical Skills
C/C++ developmentdata analysismachine learningneural networksperformance optimizationperformance testingtesting
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