
Worked on the google/perfetto repository to enhance display and graphics performance observability by developing and integrating new ftrace events, metrics, and UI features. Leveraged C++ and Protocol Buffers to implement tracing for DPU underruns, vertical blank IRQs, and graphics pipelines, enabling granular diagnostics and real-time monitoring. Improved data accuracy and reporting by refining event schemas and updating SQL-based metrics collection. Validated changes through automated Python tests and end-to-end UI verification, ensuring reliable visualization and faster debugging. This work provided deeper insights into system performance, reduced mean time to resolution for display issues, and established a robust foundation for future optimizations.
June 2026 monthly summary for google/perfetto highlighting key feature delivery, bug fixes, and impact. Focused on end-to-end tracing instrumentation that enhances observability of the DPU display pipeline and supports faster debugging and performance optimization.
June 2026 monthly summary for google/perfetto highlighting key feature delivery, bug fixes, and impact. Focused on end-to-end tracing instrumentation that enhances observability of the DPU display pipeline and supports faster debugging and performance optimization.
April 2026 monthly summary for google/perfetto focusing on business value, reliability, and performance diagnostics. In 2026-04, two impactful changes were shipped that improve data accuracy and display diagnostics: - Gram Collision Event Data Correctness: Fixed the gram_collision event data type from u8 to u32 and updated print formatting to improve data handling and reporting accuracy. - Display Pipeline Diagnostics: Added new ftrace events and parsing structures for disp_frame_start_missing and disp_frame_done_missing to enhance tracking, diagnostics, and debugging of display performance issues. These changes were validated via a successful build and targeted tests, and are tied to concrete commits. They enable more reliable performance metrics and faster diagnosis of UI/display performance issues.
April 2026 monthly summary for google/perfetto focusing on business value, reliability, and performance diagnostics. In 2026-04, two impactful changes were shipped that improve data accuracy and display diagnostics: - Gram Collision Event Data Correctness: Fixed the gram_collision event data type from u8 to u32 and updated print formatting to improve data handling and reporting accuracy. - Display Pipeline Diagnostics: Added new ftrace events and parsing structures for disp_frame_start_missing and disp_frame_done_missing to enhance tracking, diagnostics, and debugging of display performance issues. These changes were validated via a successful build and targeted tests, and are tied to concrete commits. They enable more reliable performance metrics and faster diagnosis of UI/display performance issues.
March 2026 (2026-03) — Display performance tracing and visualization enhancements delivered for Perfetto, focusing on reliability and UI accuracy to enable faster performance analysis and better decision making for display subsystem optimizations.
March 2026 (2026-03) — Display performance tracing and visualization enhancements delivered for Perfetto, focusing on reliability and UI accuracy to enable faster performance analysis and better decision making for display subsystem optimizations.
January 2026: Delivered Perfetto panel performance monitoring enhancements for google/perfetto. Implemented a new gram_collision ftrace event and panel_state metrics to capture panel diagnostics and DPU underruns, enabling deeper diagnostics and faster MTTR for panel issues. Completed end-to-end validation using gfx-based recording and ensured correct UI event display. Added automated tests in tools/diff_test_trace_processor.py to guard against regressions. This work improves visibility into panel health, supports proactive optimization, and provides a solid foundation for future performance improvements.
January 2026: Delivered Perfetto panel performance monitoring enhancements for google/perfetto. Implemented a new gram_collision ftrace event and panel_state metrics to capture panel diagnostics and DPU underruns, enabling deeper diagnostics and faster MTTR for panel issues. Completed end-to-end validation using gfx-based recording and ensured correct UI event display. Added automated tests in tools/diff_test_trace_processor.py to guard against regressions. This work improves visibility into panel health, supports proactive optimization, and provides a solid foundation for future performance improvements.
December 2025 monthly summary for google/perfetto development focusing on graphics performance tracing. Delivered a feature to add G2D ftrace events to the gfx category, addressing a known issue and enhancing observability for graphics pipelines. This change enables richer graphics performance metrics and faster debugging across Android graphics workloads.
December 2025 monthly summary for google/perfetto development focusing on graphics performance tracing. Delivered a feature to add G2D ftrace events to the gfx category, addressing a known issue and enhancing observability for graphics pipelines. This change enables richer graphics performance metrics and faster debugging across Android graphics workloads.
April 2025: Focused on delivering a key metrics feature for Perfetto with improved display pipeline visibility and groundwork for more accurate monitoring. This month’s effort centers on introducing per-display underrun reporting and deprecating the global total_dpu_underrun_count to increase granularity and accuracy of DPU underrun metrics. No separate bug fixes were documented in the provided data; the work enhances observability and paves the way for data-driven optimizations.
April 2025: Focused on delivering a key metrics feature for Perfetto with improved display pipeline visibility and groundwork for more accurate monitoring. This month’s effort centers on introducing per-display underrun reporting and deprecating the global total_dpu_underrun_count to increase granularity and accuracy of DPU underrun metrics. No separate bug fixes were documented in the provided data; the work enhances observability and paves the way for data-driven optimizations.
March 2025 monthly summary focusing on business value and technical outcomes for the google/perfetto project. Key feature delivered: new tracing event to capture vertical blanking IRQ enable/disable signals. This expands observability for display pipelines and supports debugging and performance analysis. Minor or no user-facing bugs reported this month. Overall impact includes improved tracing accuracy for display subsystems and a clearer path for performance optimizations.
March 2025 monthly summary focusing on business value and technical outcomes for the google/perfetto project. Key feature delivered: new tracing event to capture vertical blanking IRQ enable/disable signals. This expands observability for display pipelines and supports debugging and performance analysis. Minor or no user-facing bugs reported this month. Overall impact includes improved tracing accuracy for display subsystems and a clearer path for performance optimizations.
February 2025: Monthly summary for google/perfetto focused on delivering end-to-end observability improvements for Display Processing Unit (DPU) underruns. Introduced a new ftrace event and added UI/trace processing integration to enable faster debugging and more actionable performance insights.
February 2025: Monthly summary for google/perfetto focused on delivering end-to-end observability improvements for Display Processing Unit (DPU) underruns. Introduced a new ftrace event and added UI/trace processing integration to enable faster debugging and more actionable performance insights.

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