Non-GPU-resident symmetric indefinite factorization-Reference-Cited by-同舟云学术

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Non-GPU-resident symmetric indefinite factorization

Published:2016-11-04 Issue:5 Volume:29 Page:e4012
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Yamazaki Ichitaro¹,Tomov Stanimire¹,Dongarra Jack¹

Affiliation:

1. Department of Electrical Engineering and Computer Science; University of Tennessee; Knoxville USA

Funder

National Science Foundation NVIDIA Matrix Algebra for GPU and Multicore Architectures (MAGMA) for Large Petascale Systems

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.4012/fullpdf

Reference20 articles.

1. Baboulin M Dongarra J Rémy A Tomov S Yamazaki I Dense symmetric indefinite factorization on GPU accelerated architectures The Proceedings of the International Conference on Parallel Processing and Applied Mathematics (PPAM) Krakow, Poland 2015

2. Some stable methods for calculating inertia and solving symmetric linear systems;Bunch;Mathematics of Computation,1977

3. On the reduction of a symmetric matrix to tridiagonal form;Aasen;BIT,1971

4. Partitioned triangular tridiagonalization;Rozloz'ník;ACM Trans Math Softw,2011

5. A communication avoiding symmetric indefinite factorization;Ballard;SIAM J Matrix Anal Appl,2014

Cited by 4 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

1. Reducing the amount of out‐of‐core data access for GPU‐accelerated randomized SVD;Concurrency and Computation: Practice and Experience;2020-04-13

2. GPU‐based branch‐and‐bound method to solve large 0‐1 knapsack problems with data‐centric strategies;Concurrency and Computation: Practice and Experience;2018-09-27

3. Solving dense symmetric indefinite systems using GPUs;Concurrency and Computation: Practice and Experience;2017-03-03

4. A Framework for Out of Memory SVD Algorithms;Lecture Notes in Computer Science;2017

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