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
Worked on enhancing the benchdnn performance test suite within the oneapi-src/oneDNN repository, focusing on expanding benchmarking coverage for neural network and transformer workloads. Over two months, implemented cleanup of outdated performance input files and introduced new model configurations, including inputs for LLaMA 3 and Vision Transformer. These updates improved the accuracy and relevance of performance testing, reduced maintenance overhead, and enabled benchmarking for contemporary NLP and computer vision models. Utilized C, C++, and Python, applying skills in machine learning, data analysis, and performance optimization to ensure traceable, maintainable enhancements that support faster tuning of AI workloads in production environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
386
Activity Months2
Your Network
2342 peopleSame Organization
@intel.com2260
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 Implemented cleanup of outdated performance input files and added new neural network model configurations to broaden benchdnn coverage.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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