NAV extracts and analyzes GPU performance traces from NVIDIA Nsight™ Systems (NSYS), enabling comparative analysis and visualization for efficient performance profiling and regression testing.
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Updated
Mar 4, 2025 - Python
NAV extracts and analyzes GPU performance traces from NVIDIA Nsight™ Systems (NSYS), enabling comparative analysis and visualization for efficient performance profiling and regression testing.
Collection of examples and links that uses different profiling tools to show memory usage and timings.
NAV extracts and analyzes GPU performance traces from NVIDIA Nsight™ Systems (NSYS), enabling comparative analysis and visualization for efficient performance profiling and regression testing.
Unified benchmarking and profiling framework for the JAX scientific ML ecosystem. Timing, GPU/energy monitoring, FLOPS counting, roofline analysis, statistical testing, regression detection, and CI integration.
Windows-first telemetry, tracing, and dashboards for AMD APU systems.
"The GPU Watchers swore upon their shared memory hierarchy, from L1 to global memory, which also served as their mandate as lords of parallel computation."
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