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  Diagonally-Addressed Matrix Nicknack: How to improve SpMV performance

Saak, J., & Schulze, J. (2023). Diagonally-Addressed Matrix Nicknack: How to improve SpMV performance. Proceedings in Applied Mathematics and Mechanics, 23(4): e202300228.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-B6D5-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-2630-0
Genre: Conference Paper

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© 2023 The Authors.Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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 Creators:
Saak, Jens1, Author           
Schulze, Jonas1, 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: 2023-07-122023
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 2307.06305
DOI: 10.1002/pamm.202300228
 Degree: -

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Title: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
Place of Event: Dresden, Germany
Start-/End Date: 2023-05-30 - 2023-06-02

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Title: Proceedings in Applied Mathematics and Mechanics
  Abbreviation : PAMM
Source Genre: Journal
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Publ. Info: Weinheim, Fed. Rep. of Germany : Wiley-VCH Verlag
Pages: - Volume / Issue: 23 (4) Sequence Number: e202300228 Start / End Page: - Identifier: ISSN: 1617-7061
CoNE: https://pure.mpg.de/cone/journals/resource/111026743049002