GPU Performance Profiling

Practical tools and workflows for profiling GPU utilization, memory usage, and performance bottlenecks
  1. Reading torch.profiler Correctly: Schedules, Labels, and CPU vs GPU Time
    torch.profiler integrates PyTorch operator attribution, optional source stacks, and CUDA activity in one trace. Its numbers mean what you think only if you control the capture window, the labels and the host syncs.