optimize

To profile per-frame hot-path code, you instrument entry points with IR_PROFILE macros and use the easy_profiler tool to collect timing data. This process differentiates CPU-bound and GPU-bound hotspots to help optimize engine performance and reclaim FPS.

The best way to optimize render pipelines and system ticks is to profile hot-path code using IR_PROFILE macros and easy_profiler. This identifies CPU and GPU bottlenecks and proposes actionable engine-specific fixes to meet real-time goals.

You validate performance improvements by running a profiling session before and after making changes to your hot-path code. The workflow produces a compact report comparing before and after measurements to confirm the optimizations reclaimed FPS.

Yes, this profiling workflow works with audio and video processing hot paths. It applies to system ticks, render pipelines, and math hot paths to identify CPU- and GPU-bound hotspots and propose fixes for real-time engine performance.

You should instrument hot-path entry points with IR_PROFILE macros to accurately gather timing data across frames. This data is leveraged by the easy_profiler tool to pinpoint specific hotspots and catch performance regressions early.

Without before and after measurements, profiling engine hot paths cannot validate that proposed fixes actually reclaim FPS. The workflow requires comparing compact profiler outputs to confirm that CPU and GPU hotspots have been successfully resolved.