
Shinyu Wang developed and enhanced display performance tracing features for the google/perfetto repository over six months, focusing on end-to-end observability and diagnostics for graphics and display subsystems. Shinyu introduced new ftrace events and metrics, such as DPU underrun and panel state reporting, and integrated these with the trace processor and UI to enable granular, actionable insights. Using C++, Protocol Buffers, and Python, Shinyu improved trace event parsing, visualization accuracy, and automated testing. The work provided deeper visibility into display pipelines, supported data-driven performance analysis, and established robust monitoring foundations, reflecting a thorough and systematic engineering approach throughout the project.
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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