Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools | NVIDIA Technical Blog

What this post added

This post details the optimization of the NuRec neural reconstruction pipeline using NVIDIA Nsight Systems and Nsight Compute. Key contributions include identifying the `interpolate` function as a bottleneck, fusing its small kernels into a single kernel for a ~50x speedup, and removing long `cudaStreamSynchronize` APIs to improve GPU utilization. The post also highlights the use of NVTX for detailed profiling and the iterative process of identifying and resolving performance bottlenecks in CUDA kernels and application-level workflows.