google/perfetto
Sep 2025 – Jun 2026
10 Months active
Languages Used
JavaScriptSCSSSQLTypeScriptMarkdownC++Pythonproto
Technical Skills
Code RefactoringFront End DevelopmentJavaScriptPerformance AnalysisPlugin DevelopmentSQL
Runping Lai
PROFILE
Runping Lai
Over ten months, this developer enhanced the google/perfetto repository by delivering features and fixes focused on power estimation, UI clarity, and performance analysis across CPU, GPU, and TPU domains. They refactored SQL and TypeScript code to improve maintainability, introduced device-aware power modeling, and expanded trace support for more accurate analytics. Their work included modularizing warning systems, integrating interconnect modeling, and implementing robust testing and validation workflows using Python scripting. By aligning data models and optimizing UI components, they enabled more reliable business analytics and streamlined developer experience, demonstrating depth in SQL, TypeScript, and performance optimization throughout the project lifecycle.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
20Total
Bugs
2
Commits
20
Features
12
Lines of code
36,309
Activity Months10
Your Network
5262 peopleSame Organization
@google.com5001
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
261
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for google/perfetto: Delivered a new performance comparison feature for the diff test runner with baseline validation, enhancing testing efficiency and regression detection. Implemented robust baseline handling and improved feedback for performance changes.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for google/perfetto: Delivered a new performance comparison feature for the diff test runner with baseline validation, enhancing testing efficiency and regression detection. Implemented robust baseline handling and improved feedback for performance changes.
June 2026
May 2026
3 Commits • 2 Features
May 1, 2026May 2026 monthly work summary focusing on delivering device-aware Wattson power estimation improvements in Perfetto, expanding GPU/TPU trace support, and integrating interconnect modeling for higher accuracy. The work enhances UX, reliability, and modeling fidelity across CPU/GPU/TPU traces with direct business impact on power-aware performance analysis and hardware planning.
May 2026
3 Commits • 2 Features
May 1, 2026May 2026 monthly work summary focusing on delivering device-aware Wattson power estimation improvements in Perfetto, expanding GPU/TPU trace support, and integrating interconnect modeling for higher accuracy. The work enhances UX, reliability, and modeling fidelity across CPU/GPU/TPU traces with direct business impact on power-aware performance analysis and hardware planning.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for google/perfetto. Focused on Wattson GPU attribution enhancements and aggregator stability. Delivered architectural changes to support per-package GPU attribution with separated CPU/GPU UI tables, enabling clearer insights and faster UI rendering. Fixed runtime errors in the Wattson package aggregator by aligning queries with existing tables/modules, improving reliability during package-level aggregation. These changes improved data attribution accuracy, reduced UI latency for GPU-focused views, and enhanced maintainability of the Wattson component in high-cardinality scenarios.
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for google/perfetto. Focused on Wattson GPU attribution enhancements and aggregator stability. Delivered architectural changes to support per-package GPU attribution with separated CPU/GPU UI tables, enabling clearer insights and faster UI rendering. Fixed runtime errors in the Wattson package aggregator by aligning queries with existing tables/modules, improving reliability during package-level aggregation. These changes improved data attribution accuracy, reduced UI latency for GPU-focused views, and enhanced maintainability of the Wattson component in high-cardinality scenarios.
April 2026
March 2026
4 Commits • 1 Features
Mar 1, 2026Summary for March 2026: Implemented Wattson TPU power modeling and visualization, expanded Wattson metrics with TPU V1/V2, and fixed a critical denominator bug in Wattson metrics. Resulted in improved visibility into TPU power usage, enabling cost-aware resource optimization across CPU/GPU/TPU, and strengthened maintainability through targeted refactors and tests.
March 2026
4 Commits • 1 Features
Mar 1, 2026Summary for March 2026: Implemented Wattson TPU power modeling and visualization, expanded Wattson metrics with TPU V1/V2, and fixed a critical denominator bug in Wattson metrics. Resulted in improved visibility into TPU power usage, enabling cost-aware resource optimization across CPU/GPU/TPU, and strengthened maintainability through targeted refactors and tests.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered Wattson metric v2 overhaul in google/perfetto. Refactored the metric proto structure into a flatter stdlib-based design, enabling faster queries and easier maintenance. Introduced standardized analysis windows via new SQL views (windows.sql) and created BI-ready views rails_metrics.sql and threads_metrics.sql. Implemented centralized aggregation macros in aggregation.sql to compute final power attributions and expose data as a flat table for downstream processing and textproto consumption. Fixed bug 477599147 in the Wattson v1 data path, simplifying data flow and reducing nested proto dependencies. Overall, the work enhances data handling, analytics reliability, and performance tracking for business analytics, enabling more accurate power attribution and streamlined dashboards. Demonstrated proficiency in SQL view design, protobuf-driven data modeling, and stdlib refactoring, with cross-team collaboration to align data models and BI outputs.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered Wattson metric v2 overhaul in google/perfetto. Refactored the metric proto structure into a flatter stdlib-based design, enabling faster queries and easier maintenance. Introduced standardized analysis windows via new SQL views (windows.sql) and created BI-ready views rails_metrics.sql and threads_metrics.sql. Implemented centralized aggregation macros in aggregation.sql to compute final power attributions and expose data as a flat table for downstream processing and textproto consumption. Fixed bug 477599147 in the Wattson v1 data path, simplifying data flow and reducing nested proto dependencies. Overall, the work enhances data handling, analytics reliability, and performance tracking for business analytics, enabling more accurate power attribution and streamlined dashboards. Demonstrated proficiency in SQL view design, protobuf-driven data modeling, and stdlib refactoring, with cross-team collaboration to align data models and BI outputs.
February 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for google/perfetto focused on GPU power observability. Delivered integrated GPU power state tracing and PowerVR power estimation, with extended trace_processor support, generalized power-state table, and validation logic. This work improves energy-aware performance analysis and enables data-driven optimizations for devices with PowerVR GPUs.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for google/perfetto focused on GPU power observability. Delivered integrated GPU power state tracing and PowerVR power estimation, with extended trace_processor support, generalized power-state table, and validation logic. This work improves energy-aware performance analysis and enables data-driven optimizations for devices with PowerVR GPUs.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for google/perfetto focused on refining Wattson integration and improving UI signal accuracy. Delivered a feature: Wattson Warning Visibility Based on User Settings, ensuring warnings and tracks appear only for users who have Wattson markers enabled. This reduces UI clutter for non-Wattson users and aligns signals with user intent. Implemented targeted configuration checks to surface warnings only for relevant settings, specifically CPU frequency and devfreq frequency events, across relevant trace types. Fixed related warning behavior and improved test coverage to validate UI behavior locally.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for google/perfetto focused on refining Wattson integration and improving UI signal accuracy. Delivered a feature: Wattson Warning Visibility Based on User Settings, ensuring warnings and tracks appear only for users who have Wattson markers enabled. This reduces UI clutter for non-Wattson users and aligns signals with user intent. Implemented targeted configuration checks to surface warnings only for relevant settings, specifically CPU frequency and devfreq frequency events, across relevant trace types. Fixed related warning behavior and improved test coverage to validate UI behavior locally.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Key feature delivery and bug fixes for google/perfetto. Implemented Device-Specific GPU ID Mapping for Frequency Calculations by removing hardcoded gpu_id and introducing a device-name to GPU-ID mapping, enabling accurate GPU frequency calculations across devices and reducing maintenance. Commit: 4f4ef4c4777d2b95193ba508ee089523a5d09424. Bug 451737922 fixed via Local perfetto UI test, ensuring reliability of performance measurements.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Key feature delivery and bug fixes for google/perfetto. Implemented Device-Specific GPU ID Mapping for Frequency Calculations by removing hardcoded gpu_id and introducing a device-name to GPU-ID mapping, enabling accurate GPU frequency calculations across devices and reducing maintenance. Commit: 4f4ef4c4777d2b95193ba508ee089523a5d09424. Bug 451737922 fixed via Local perfetto UI test, ensuring reliability of performance measurements.
October 2025
2 Commits • 2 Features
Oct 1, 2025Month 2025-10 focused on readability, maintainability, and documentation improvements in google/perfetto. Delivered a non-functional refactor replacing a magic constant with a named function and clarified macro usage for simple constants to support performance-sensitive queries. No major bugs fixed in this period; changes emphasize stable delivery and clearer guidance for developers.
2 Commits • 2 Features
Oct 1, 2025Month 2025-10 focused on readability, maintainability, and documentation improvements in google/perfetto. Delivered a non-functional refactor replacing a magic constant with a named function and clarified macro usage for simple constants to support performance-sensitive queries. No major bugs fixed in this period; changes emphasize stable delivery and clearer guidance for developers.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) — Focused Wattson UI improvements and warning system enhancements in google/perfetto. Delivered aligned power-estimate display across package-, thread-, and process-level views; fixed energy calculation for threads with NULL UIDs; added user-visible warnings for missing trace events required for CPU track analysis; and modularized the warnings system for easier maintenance and future extension. Impact: more reliable CPU power estimates, faster analysis, and improved developer experience. Technologies: UI refactor, frontend/backend coordination, and trace-event-driven logic.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) — Focused Wattson UI improvements and warning system enhancements in google/perfetto. Delivered aligned power-estimate display across package-, thread-, and process-level views; fixed energy calculation for threads with NULL UIDs; added user-visible warnings for missing trace events required for CPU track analysis; and modularized the warnings system for easier maintenance and future extension. Impact: more reliable CPU power estimates, faster analysis, and improved developer experience. Technologies: UI refactor, frontend/backend coordination, and trace-event-driven logic.
Activity
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Quality Metrics
Correctness92.6%
Maintainability82.6%
Architecture84.6%
Performance82.0%
AI Usage27.0%
Skills & Technologies
Programming Languages
C++JavaScriptMarkdownPythonSCSSSQLTypeScriptprotosql
Technical Skills
C++Code RefactoringData AnalysisDocumentationFront End DevelopmentJavaScriptPerformance AnalysisPerformance MetricsPerformance OptimizationPlugin DevelopmentPython scriptingSQLTestingTypeScriptUI Development
Repositories Contributed To
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