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

Contents:

• Release Notes
• User Guide
  • Under Construction
• Getting Started
  • Under Construction
• Software License Agreement