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Join NVIDIA’s Jackson Marusarz for an introduction to NVIDIA Nsight Compute, a tool for in-depth analysis of CUDA kernel performance on GPUs. Highlights include:
Setting up Nsight Compute: Get insights into the capabilities of Nsight Compute, including setup tips and key features for performance analysis. Learn how to harness Nsight Compute to understand the performance of your GPU.
Collecting metrics: Discover how Nsight Compute collects performance and throughput metrics, including from hardware counters and code instrumentation.
Configuration: Learn about permissions for accessing GPU counters and how to enable source-level details without compromising performance. Get details about configuration options for non-interactive profiles.
Nsight Compute reports: Nsight Compute generates detailed reports with runtime information, speedup estimates, and more. You can even examine source-level profiling data.
This video series will help get you started with NVIDIA Nsight Developer Tools for CUDA. Grow your proficiency with the tools and apply the examples to your own development environment. Or return to specific episodes for a refresher on certain features and functionalities. We walk through analyzing performance reports, offer debugging tips and tricks, and show you the best ways to optimize your CUDA code. The series will focus primarily on Nsight Compute and Nsight Systems.
Download the latest release of NVIDIA Nsight Compute: developer.nvidia.com/nsight-compute
Read the NVIDIA Nsight Compute Kernel Profiling Guide: https://docs.nvidia.com/nsight-compute/ProfilingGuide/index.html