Abstract: We present an efficient parallel sparse matrix solver for large linear systems in a distributed-memory environment. The proposed approach uses block-based partial pivoting and block-based ...

Abstract: The sparse solver is a critical component in circuit simulators. The widely used solver KLU is based on a pure column-level algorithm. In this paper, we point out that KLU is not always the ...

A Python library for solving linear systems using iterative methods, analyzing matrix properties, benchmarking solvers, and visualizing performance. The library is designed to solve large sparse ...