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New Efficient General Sparse Matrix Formats for Parallel SpMV Operations

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Metadaten
Document Type:Conference Object
Language:English
Author:Jan Philipp Ecker, Rudolf Berrendorf, Florian Mannuss
Parent Title (English):Rivera, Pena et al. (Eds.): Euro-Par 2017: Parallel Processing. 23rd International Conference on Parallel and Distributed Computing. Santiago de Compostela, Spain, August 28 - September 1, 2017, Proceedings
First Page:523
Last Page:537
ISBN:978-3-319-64202-4
DOI:https://doi.org/10.1007/978-3-319-64203-1_38
Publisher:Springer International Publishing
Place of publication:Cham
Date of first publication:2017/08/01
Keyword:CPU; CSR5BC; GPU; HCSS; LGCSR; Requirements analysis; SpMV; Sparse matrix format; Xeon Phi knights landing
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2017/11/15