Metadata-Version: 2.4
Name: nvpl-sparse
Version: 0.6.0
Summary: NVPL Sparse
Author-email: Nvidia CUDA Installer Team <cuda_installer@nvidia.com>
License-Expression: LicenseRef-Nvidia-NVPL-License
Project-URL: Homepage, https://developer.nvidia.com/nvpl/
Project-URL: Documentation, https://docs.nvidia.com/nvpl/
Keywords: nvidia,nvpl,hpc,sparse,sparse matrix,linear algebra
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: C
Classifier: Programming Language :: C++
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# NVPL Sparse
The NVPL Sparse library is a component of the NVIDIA Performance Libraries (NVPL), a collection of high-performance mathematical libraries optimized for NVIDIA aarch64 CPUs.

These CPU-only libraries have no dependencies on CUDA or CTK. They are drop-in replacements for standard C and Fortran mathematical APIs, allowing HPC applications to achieve maximum performance on NVIDIA CPU platforms.

- [NVPL Homepage](https://developer.nvidia.com/nvpl/)
- [NVPL Documentation](https://docs.nvidia.com/nvpl/)
- [NVPL Python Documentation](https://docs.nvidia.com/nvpl/latest/python.html)
- [Building NumPy and SciPy with NVPL](https://docs.nvidia.com/nvpl/latest/numerical-python.html)
- [NVPL Downloads](https://developer.nvidia.com/nvpl-downloads/)
