4.5 Article

PRIMME: PReconditioned Iterative MultiMethod Eigensolver-Methods and Software Description

期刊

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/1731022.1731031

关键词

Algorithms; Davidson; Jacobi-Davidson; Lanczos; conjugate gradient; Hermitian; eigenvalues; eigenvectors; preconditioning; software package; iterative; block; locking

资金

  1. National Science Foundation [ITR/DMR 0325218, ITR/AP-0112727, ITR/ACS-0082094, CCF/TF-0728915]

向作者/读者索取更多资源

This article describes the PRIMME software package for solving large, sparse Hermitian standard eigenvalue problems. The difficulty and importance of these problems have increased over the years, necessitating the use of preconditioning and near optimally converging iterative methods. However, the complexity of tuning or even using such methods has kept them outside the reach of many users. Responding to this problem, we have developed PRIMME, a comprehensive package that brings state-of-the-art methods from bleeding edge to production, with the best possible robustness, efficiency, and a flexible, yet highly usable interface that requires minimal or no tuning. We describe (1) the PRIMME multimethod framework that implements a variety of algorithms, including the near optimal methods GD+k and JDQMR; (2) a host of algorithmic innovations and implementation techniques that endow the software with its robustness and efficiency; (3) a multilayer interface that captures our experience and addresses the needs of both expert and end users.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据