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  Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions

Bramas, B., & Kus, P. (2018). Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions. PeerJ Computer Science, 4: e151. doi:10.7717/peerj-cs.151.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-6426-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-6427-3
Genre: Journal Article

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 Creators:
Bramas, Bérenger1, Author           
Kus, Pavel1, Author           
Affiliations:
1Max Planck Computing and Data Facility, Max Planck Society, ou_2364734              

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Language(s): eng - English
 Dates: 2018-04-30
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7717/peerj-cs.151
Other: LOCALID: RZG2595949
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Title: PeerJ Computer Science
Source Genre: Journal
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Publ. Info: London : PeerJ
Pages: 23 Volume / Issue: 4 Sequence Number: e151 Start / End Page: - Identifier: ISSN: 2376-5992