Improving the scalability of a symmetric iterative eigensolver for multi-core platforms-Reference-Cited by-同舟云学术

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Improving the scalability of a symmetric iterative eigensolver for multi-core platforms

Published:2013-09-12 Issue:16 Volume:26 Page:2631-2651
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Aktulga Hasan Metin¹,Yang Chao¹,Ng Esmond G.¹,Maris Pieter²,Vary James P.²

Affiliation:

1. Computational Research Division; Lawrence Berkeley National Laboratory; Berkeley CA 94720 USA

2. Department of Physics & Astronomy; Iowa State University; Ames IA 50011 USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3129/fullpdf

Reference20 articles.

1. ARPACK Users' Guide

2. Sparse matrix computations on parallel processor arrays;Ogielski;Journal on Scientific and Statistical Computing,1993

3. Sternberg P Ng EG Yang C Maris P Vary JP Sosonkina M Le HV Accelerating Configuration Interaction Calculations for Nuclear Structure The Proceedings of the 2008 ACM/IEEE Conference on Supercomputing (SC'08) 2008

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