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Optimizing RTX Mega Geometry with Nsight Graphics GPU Trace

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Calvin Chu

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Description

Optimizing RTX Mega Geometry with Nsight Graphics GPU Trace is an NVIDIA Game Developer talk by Calvin Chu on profiling and speeding up the RTX Mega Geometry SDK sample.

It outlines per-frame tessellation and cluster BVH work in a high micro-triangle scene, then shows an Nsight Graphics GPU Trace loop: capture hygiene, throughput graphs, warp stalls, input dependencies, and trace compare. Fixes include removing local-memory spills, correcting partial UAV bitfield writes, coalescing atomics, specializing shaders by surface type, and group-shared prefetch, with large reported gains on tiling and fill passes.

GPU engineers optimizing compute-heavy ray-tracing or cluster pipelines on NVIDIA hardware are the audience. Prior Nsight Graphics experience helps.

Access is a free YouTube recording with slides and live profiler views. The public Mega Geometry sample is cited as including these changes.

It is a case study in reading stall sources correctly rather than chasing register counts alone.