📄️ Capturing traces
gpufl trace is the fastest way to try GPUFlight on an existing
📄️ Sending data to the dashboard
This is the last Getting Started step: first install GPUFlight, then
📄️ Installation
GPUFlight supports both NVIDIA CUDA and AMD ROCm backends. You need the C++ library for integration into your GPU application, and optionally the Python library for analysis and visualization.
📄️ Linux Configuration
GPU profiling on Linux requires specific permissions depending on your GPU vendor.