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  Accelerating BST Methods for Model Reduction with Graphics Processors

Benner, P., Ezzatti, P., Quintana-Ortí, E. S., & Remón, A. (2012). Accelerating BST Methods for Model Reduction with Graphics Processors. In R. Wyrzykowski, J. Dongarra, K. Karczewski, & J. Waśniewski (Eds.), Parallel Processing and Applied Mathematics (pp. 549-558). Heidelberg: Springer.

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 Creators:
Benner, Peter1, Author           
Ezzatti, Pablo2, Author
Quintana-Ortí, Enrique S.3, Author
Remón, Alfredo3, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Centro de Cálculo-Instituto de Computación, Universidad de la República, Montevideo, Uruguay , ou_persistent22              
3Depto. de Ingeniería y Ciencia de Computadores, Universidad Jaume I, Castellón, Spain, ou_persistent22              

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 618148
DOI: 10.1007/978-3-642-31464-3_56
 Degree: -

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Title: Parallel Processing and Applied Mathematics
Source Genre: Book
 Creator(s):
Wyrzykowski , Roman1, Editor
Dongarra, Jack2, Editor
Karczewski, Konrad1, Editor
Waśniewski, Jerzy3, Editor
Affiliations:
1 Institute of Computer and Information Science, Czestochowa University of Technology , ou_persistent22            
2 Electrical Engineering and Computer Science Department, University of Tennessee, ou_persistent22            
3 Department of Informatics and Mathematical Modeling, Technical University of Denmark, ou_persistent22            
Publ. Info: Heidelberg : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 549 - 558 Identifier: -

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Title: Lecture Notes in Computer Science - LNCS (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7203 Sequence Number: - Start / End Page: - Identifier: -