A Feature-complete SPIKE Dense Banded Solver

Author:

Spring Braegan S.1,Polizzi Eric1,Sameh Ahmed H.2

Affiliation:

1. University of Massachusetts, Amherst, MA

2. Purdue University, West Lafayette, IN

Abstract

This article presents a parallel, effective, and feature-complete recursive SPIKE algorithm that achieves near feature-parity with the standard linear algebra package banded linear system solver. First, we present a flexible parallel implementation of the recursive SPIKE scheme that aims at removing its original limitation that the number of cores/processors be restricted to powers of two. A new transpose solve option for SPIKE is then developed to satisfy a standard requirement of most numerical solver libraries. Finally, a pivoting recursive SPIKE strategy is presented as an alternative to the non-pivoting scheme to improve numerical stability. All these new enhancements lead to the release of a new black-box feature-complete SPIKE-OpenMP package that significantly improves upon the performance and scalability obtained with other state-of-the-art banded solvers.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Applied Mathematics,Software

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3