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  GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition

Benner, P., Köhler, M., & Penke, C. (2018). GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition. In S. Bassini, M. Danelutto, P. Dazzi, G. R. Joubert, & F. Peters (Eds.), Parallel Computing is Everywhere (pp. 329-338). Amsterdam [et al.]: IOS Press.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-FBED-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7A2F-1
Genre: Book Chapter

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 Creators:
Benner, Peter1, Author              
Köhler, Martin1, Author              
Penke, Carolin1, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              

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 Dates: 2018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.3233/978-1-61499-843-3-329
 Degree: -

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Title: Parallel Computing is Everywhere
Source Genre: Book
 Creator(s):
Bassini, Sanzio, Editor
Danelutto, Marco, Editor
Dazzi, Patrizio, Editor
Joubert, Gerhard R., Editor
Peters, Frans, Editor
Affiliations:
-
Publ. Info: Amsterdam [et al.] : IOS Press
Pages: - Volume / Issue: 32 Sequence Number: - Start / End Page: 329 - 338 Identifier: ISBN: 978-1-61499-842-6
ISBN: 978-1-61499-843-3

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Title: Advances in Parallel Computing
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -