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Agata Momot

PROFILE

Agata Momot

Agata Momot developed and enhanced benchmarking and synchronization infrastructure across the oneapi-src/unified-runtime and unified-memory-framework repositories. She automated cross-platform benchmark workflows using Python and GitHub Actions, enabling standardized performance evaluation and rapid feedback for pull requests. Agata introduced configurable benchmarking suites, streamlined reporting, and integrated nightly baseline comparisons to accelerate regression detection and data-driven optimization. In C++ code, she addressed concurrency by standardizing synchronization primitives and resolving race conditions in command buffer resubmission, improving backend reliability. Her work demonstrated depth in CI/CD automation, low-level programming, and system performance analysis, resulting in more maintainable, portable, and performance-aware codebases.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

13Total
Bugs
1
Commits
13
Features
8
Lines of code
1,453
Activity Months5

Work History

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for oneapi-src/unified-runtime focused on reliability improvements and synchronization standardization across backends. Key outcomes include a race condition fix in command buffer resubmission and a consolidation of synchronization primitives in the Level Zero v2 adapter, contributing to cross-backend stability and easier maintenance.

February 2025

4 Commits • 2 Features

Feb 1, 2025

February 2025 focused on strengthening benchmarking reliability and performance visibility, delivering measurable business value through baseline data capture and enhanced benchmark reporting. Key features delivered include enabling baseline data saving for nightly bench runs in the unified-memory framework, and comprehensive benchmark workflow improvements in unified-runtime (markdown reporting refinements, result grouping by suite names and explicit groups, plus a dedicated --compare baseline flag). Documentation updates were completed to reflect default baseline behavior and updated bench_script_params descriptions. No explicit major bug fixes were recorded this month; the emphasis was on feature-driven improvements to improve performance tracking and decision-making. Impact and business value: These changes enable faster regression detection, clearer performance insights across nightly builds, and reduced manual effort in interpreting benchmark results, directly supporting performance optimization initiatives and more informed product decisions. The work demonstrates a breadth of skills in benchmark automation, parameterization, report generation, and documentation discipline.

January 2025

5 Commits • 3 Features

Jan 1, 2025

January 2025: Strengthened benchmarking capabilities and streamlined CI for faster, more reliable performance feedback. In oneapi-src/unified-runtime, delivered configurable UMF benchmarks with additional run options and cleaner reporting; and in oneapi-src/unified-memory-framework, added an automated CI workflow to execute UMF benchmarks on Ubuntu and publish results. These changes enable faster, more consistent performance assessments across providers (Level Zero, CUDA) and reduce manual benchmarking overhead.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 — oneapi-src/unified-runtime delivered the Unified Memory Framework (UMF) Benchmark Suite. This work adds workflow configurations, benchmark definitions, and CLI options to execute and report UMF benchmarks, and integrates UMF into the benchmark runner's build and execution pipeline. Major bugs fixed: none reported this month. Overall impact: enables standardized memory performance evaluation, accelerates cross-platform benchmarking, and provides a foundation for data-driven optimization. Technologies/skills demonstrated: build automation, benchmark workflow design, CLI/interface development, and integration with CI/test pipelines.

November 2024

1 Commits • 1 Features

Nov 1, 2024

November 2024: Automated benchmarking workflow implemented for the unified-memory-framework with Windows support, enabling automated performance checks and PR-level visibility.

Activity

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Quality Metrics

Correctness87.0%
Maintainability86.2%
Architecture84.6%
Performance75.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashCC++PowerShellPythonShellYAML

Technical Skills

API DevelopmentAdapter implementationBenchmarkingBuild SystemsC++ DevelopmentCI/CDConcurrency ControlConfigurationConfiguration ManagementData AnalysisDocumentationGitHub ActionsLow-Level ProgrammingLow-level programmingPerformance Testing

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

oneapi-src/unified-runtime

Dec 2024 Jun 2025
4 Months active

Languages Used

PythonYAMLCC++

Technical Skills

BenchmarkingCI/CDPython scriptingYAML configurationBuild SystemsConfiguration

oneapi-src/unified-memory-framework

Nov 2024 Feb 2025
3 Months active

Languages Used

BashPowerShellPythonYAMLShell

Technical Skills

BenchmarkingCI/CDGitHub ActionsWorkflow AutomationBuild SystemsPython Scripting

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