intel/pti-gpu
Jan 2025 – Jan 2025
1 Month active
Languages Used
MarkdownPythonShell
Technical Skills
Code OrganizationData ProcessingDocumentationPerformance AnalysisScriptingTool Development
iermolae
PROFILE
Iermolae
Developed a GPU kernel categorization and JSON summary generation feature for the intel/pti-gpu repository, focusing on enhancing performance analysis workflows. Leveraging Python and Shell scripting, the work introduced tooling to process unitrace outputs, categorize kernels using user-defined schemas, and aggregate results into standardized JSON summaries. The implementation emphasized code organization and data processing, integrating seamlessly with existing unitrace analysis pipelines. Documentation was updated and merged with the main unitrace README, while schema files were reorganized to support the new functionality. This solution enables performance engineers to gain higher-level insights into kernel behavior and streamlines onboarding through improved documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
573
Activity Months1
Your Network
2141 peopleSame Organization
@intel.com2109
Shared Repositories
32
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Intel/pti-gpu: Delivered GPU Kernel Categorization and JSON Summary Generation from UnitRace Outputs. Implemented Python tooling to categorize kernels from unitrace summaries, aggregate by category, and produce JSON summaries. Introduced support for user-defined categorization schemas, and integrated with unitrace for end-to-end analysis. Documentation merged with unitrace README and schema files reorganized to support the feature. This work enables standardized, higher-level insights into kernel behavior, accelerates performance analysis, and improves onboarding for performance engineers.
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Intel/pti-gpu: Delivered GPU Kernel Categorization and JSON Summary Generation from UnitRace Outputs. Implemented Python tooling to categorize kernels from unitrace summaries, aggregate by category, and produce JSON summaries. Introduced support for user-defined categorization schemas, and integrated with unitrace for end-to-end analysis. Documentation merged with unitrace README and schema files reorganized to support the feature. This work enables standardized, higher-level insights into kernel behavior, accelerates performance analysis, and improves onboarding for performance engineers.
January 2025
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShell
Technical Skills
Code OrganizationData ProcessingDocumentationPerformance AnalysisScriptingTool Development
Repositories Contributed To
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