cpu-profile-analysis

To find performance bottlenecks in a V8 CPU profile, analyze .cpuprofile sampling data to identify hot functions, self time, total time, and call stack patterns. This process isolates slow code paths and blocking tasks causing application latency.

Investigate input latency and long tasks in a DevTools trace by reading Trace-*.json event streams. Examine function calls, layout and paint work, and VS Code user timing marks to pinpoint blocking handlers and rendering delays.

Yes, you can compare two code paths or implementations using cross-comparison analysis. This identifies which implementation spends more time in CPU work, rendering, or garbage collection to explain performance regressions.

Identify layout thrashing in a desktop editor workflow by analyzing DevTools trace files. Examine timing-based stack reconstruction and trace event streams to pinpoint excessive layout, paint work, and blocking handlers.

CPU profile analysis works with both raw V8 .cpuprofile sampling data and DevTools Trace-*.json event streams. It applies timing-based stack reconstruction to inspect hot functions, long tasks, and GC events across both formats.