
Runping Lai contributed to the google/perfetto repository by building and refining power analysis features across CPU, GPU, and TPU domains. Over seven months, Runping delivered modular UI enhancements, device-specific GPU frequency mapping, and a multi-dimensional TPU power model, using TypeScript, SQL, and C++. Their work included refactoring metric proto structures for faster queries, implementing BI-ready SQL views, and integrating trace-driven logic for accurate power attribution. By focusing on maintainability, data modeling, and targeted bug fixes, Runping improved performance metrics, streamlined developer workflows, and enabled more reliable, energy-aware analysis for diverse hardware, demonstrating depth in both frontend and backend engineering.
Summary 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.
Summary 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: 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: 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.
January 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 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 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 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.
November 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: 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.
Month 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.
Month 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.
September 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 (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.

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