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

Benner, Peter; Köhler, Martin; Penke, Carolin

doi:10.3233/978-1-61499-843-3-329

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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: IOS Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-FBED-B Version Permalink: https://hdl.handle.net/21.11116/0000-0009-D4AC-6

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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: Published in Print: 2018

Publication Status: Published in print

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Identifiers: DOI: 10.3233/978-1-61499-843-3-329

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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

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-

Publ. Info: Amsterdam : 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

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