
Renfeng developed a configurable GPU Render Stages Capture feature for the google/perfetto repository, enabling lightweight and flexible GPU tracing. By introducing the GpuRenderStagesConfig proto and integrating it into the build system using gn and protobuf, Renfeng provided granular control over which GPU metrics are traced, reducing overhead and improving performance analysis. The work included aligning with Qualcomm’s hardware optimizations by merging vendor-specific changes, which enhanced capture fidelity and stability. Renfeng also updated build and configuration documentation to support adoption and collaborated across teams to ensure smooth integration. This feature positions Perfetto for more efficient production GPU profiling workflows.

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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