{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Provides a C-based API for annotating events, code ranges, and resources in applications to enable capture and visualization through NVIDIA's Visual Profiler.","skillfed_tags":["cuda-profiling","gpu-instrumentation","abandoned"],"use_cases":["Annotate GPU kernel launches and memory transfers in CUDA applications for Visual Profiler visualization","Mark critical code sections in deep learning training loops to identify performance bottlenecks","Label custom CUDA kernels and resource allocations for detailed performance analysis","Instrument scientific computing applications to correlate GPU events with CPU-side code execution"],"what_it_does":"nvidia-nvtx-cu11 is NVIDIA's Tools Extension library for CUDA 11, providing a C-based API to instrument applications with event markers, code range annotations, and resource labels. These annotations are captured by NVIDIA's Visual Profiler to visualize performance characteristics and identify bottlenecks during GPU-accelerated workloads.\n\nThe package targets machine learning, deep learning, and scientific computing workflows where profiling GPU execution is critical. It has no runtime dependencies and ships as platform-specific wheels for Linux (x86_64 and aarch64) and Windows. However, the package has been abandoned for 1411 days with no recent updates, raising concerns about compatibility with newer CUDA versions and modern profiling tools.","worth_installing":"No\u2014the package is abandoned (1411 days since last release) with unclear proprietary licensing. While it provides profiling instrumentation for CUDA 11 workloads, lack of maintenance means no support for newer CUDA versions or Python releases. Consider alternative profiling approaches instead."},"id":"nvidia-nvtx-cu11","links":{"html":"https://skillfed.io/packages/nvidia-nvtx-cu11","md":"https://skillfed.io/packages/nvidia-nvtx-cu11.md","pypi":"https://pypi.org/project/nvidia-nvtx-cu11/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-10-03","license_spdx":null,"license_treatment":"unclear","name":"nvidia-nvtx-cu11","python_support":"supports_current","summary":"NVIDIA Tools Extension"},"popularity":{"monthly_downloads":1524657,"position":3817,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"11.8.86"}