######################################################################## cuSOLVERMp: A Distributed-Memory Multi-Node Dense Linear Algebra Library ######################################################################## Welcome to the cuSOLVERMp library documentation. cuSOLVERMp is a distributed-memory multi-node and multi-GPU solution for solving systems of linear equations at scale, available through the HPC SDK. **Download:** https://developer.nvidia.com/nvidia-hpc-sdk-downloads **Feedback:** Math-Libs-Feedback@nvidia.com Key Features ============ * LU factorization, with and without partial, for general matrices distributed between GPU nodes as well as solving routines for single right hand side for computed factorization. * Cholesky factorization, for symmetric and Hermitian matrices, with corresponding solving routines for 1 right hand side. Support ======= * *Supported SM Architectures* : ``SM 7.0``, ``SM 8.0`` * *Supported OSs* : ``RHEL 7/8``, ``Ubuntu 20.04/18.04`` * *Supported CPU Architectures* : ``x86_64``, ``ARM64``, ``OpenPOWER`` Prerequisites ============= * *Dependencies* : ``cuda``, ``cudart``, ``cublas``, ``cublasLt``, ``cusolver``, ``nvidia-ml``, ``cal``, ``cusolvermp.h`` headers .. toctree:: :maxdepth: 2 :caption: Contents: release_notes user_guide getting_started license