{"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/2"},{"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 CUSPARSE native runtime libraries for CUDA 11, enabling sparse matrix operations on NVIDIA GPUs.","skillfed_tags":["gpu-runtime","cuda-legacy","sparse-linear-algebra"],"use_cases":["Dependency for PyTorch or other ML frameworks configured to use CUDA 11 sparse operations.","Scientific computing workflows requiring GPU-accelerated sparse matrix multiplication or decomposition.","Custom CUDA applications that directly call CUSPARSE routines for sparse linear algebra.","Legacy systems locked to CUDA 11 that cannot upgrade to newer CUDA versions."],"what_it_does":"nvidia-cusparse-cu11 is a native runtime library package that bundles NVIDIA's CUSPARSE library for CUDA 11. It provides low-level GPU acceleration for sparse matrix operations\u2014a critical building block for machine learning frameworks and scientific computing libraries that need to perform efficient sparse linear algebra on NVIDIA GPUs.\n\nThe package is a runtime dependency, not a user-facing library; it is typically installed as a transitive dependency by higher-level frameworks like PyTorch or CuPy. It requires an NVIDIA GPU and CUDA 11 driver to function and is distributed as platform-specific wheels for Linux (x86_64 and aarch64) and Windows. However, the package has been abandoned for over 1396 days, with no recent maintenance or updates, which creates compatibility risk for users on newer CUDA or Python versions.","worth_installing":"No\u2014unless you are maintaining legacy code explicitly pinned to CUDA 11. The package is abandoned with no maintenance for over 1396 days, creating compatibility and security risk. Modern projects should use current NVIDIA CUDA runtime packages or rely on framework-managed CUDA dependencies instead. If you must use CUDA 11, verify that your GPU driver and CUDA toolkit match version 11.7.5.86 exactly."},"id":"nvidia-cusparse-cu11","links":{"html":"https://skillfed.io/packages/nvidia-cusparse-cu11","md":"https://skillfed.io/packages/nvidia-cusparse-cu11.md","pypi":"https://pypi.org/project/nvidia-cusparse-cu11/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-10-18","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cusparse-cu11","python_support":"supports_current","summary":"CUSPARSE native runtime libraries"},"popularity":{"monthly_downloads":1540427,"position":3786,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"11.7.5.86"}