Speed Up PyTorch Training by 3x with NVIDIA Nsight and PyTorch 2.0 Tricks
What You Will Learn This post demonstrates how to achieve a 3.2x speedup in PyTorch training by systematically identifying and eliminating performance bottlenecks. We’ll start by using NVIDIA Nsight Systems to profile a typical training loop, uncovering inefficiencies such as unnecessary CPU-GPU synchronization and slow data transfers. Guided by the profiler, we’ll apply targeted fixes, like asynchronous data movement and smarter loss accumulation, that directly address the observed issues. ...