
Worked on the google/perfetto repository to deliver a configurable GPU Render Stages Capture feature, enabling lightweight and flexible GPU tracing. Developed the GpuRenderStagesConfig proto and integrated it into build systems and configuration files using gn and protobuf, allowing granular selection of GPU metrics to trace. This approach reduced tracing overhead and improved overall performance, aligning with hardware vendor optimizations by incorporating Qualcomm’s GPU renderstage changes. The work included updating documentation and collaborating across teams to ensure smooth adoption. Focused on build system configuration, GPU profiling, and performance analysis, the changes positioned Perfetto for more efficient production use and deployment.
January 2025 monthly summary for google/perfetto: Delivered Configurable GPU Render Stages Capture to enable lightweight captures. Introduced GpuRenderStagesConfig proto and integrated into builds and configs, providing granular control over which GPU metrics to trace. This reduces tracing overhead and improves performance. Key work included integrating Qualcomm changes (commits 6213ff5e691b1e5d85112c20c5d3292282cf2a81 and 1a6b20cf46c1b7b7b2f030db142316d6cf5f1bf2), aligning with hardware vendor optimizations. The changes position Perfetto for production use with more flexible tracing. Cross-team collaboration and documentation updates supported smoother deployment and adoption.
January 2025 monthly summary for google/perfetto: Delivered Configurable GPU Render Stages Capture to enable lightweight captures. Introduced GpuRenderStagesConfig proto and integrated into builds and configs, providing granular control over which GPU metrics to trace. This reduces tracing overhead and improves performance. Key work included integrating Qualcomm changes (commits 6213ff5e691b1e5d85112c20c5d3292282cf2a81 and 1a6b20cf46c1b7b7b2f030db142316d6cf5f1bf2), aligning with hardware vendor optimizations. The changes position Perfetto for production use with more flexible tracing. Cross-team collaboration and documentation updates supported smoother deployment and adoption.

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