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  1. 論文誌(トランザクション)
  2. プログラミング(PRO)
  3. Vol.49
  4. No.SIG3(PRO36)

Parallel Skeletons for Sparse Matrices in SkeTo Skeleton Library

https://ipsj.ixsq.nii.ac.jp/records/16462
https://ipsj.ixsq.nii.ac.jp/records/16462
e076c000-cdb1-4579-83e0-7691732a905d
名前 / ファイル ライセンス アクション
IPSJ-TPRO4903002.pdf IPSJ-TPRO4903002.pdf (367.3 kB)
Copyright (c) 2008 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2008-03-15
タイトル
タイトル Parallel Skeletons for Sparse Matrices in SkeTo Skeleton Library
タイトル
言語 en
タイトル Parallel Skeletons for Sparse Matrices in SkeTo Skeleton Library
言語
言語 eng
キーワード
主題Scheme Other
主題 通常論文
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Department of Computer Science The University of Electro-Communications
著者所属
Department of Computer Science The University of Electro-Communications
著者所属(英)
en
Department of Computer Science, The University of Electro-Communications
著者所属(英)
en
Department of Computer Science, The University of Electro-Communications
著者名 Yuki, Karasawa Hideya, Iwasaki

× Yuki, Karasawa Hideya, Iwasaki

Yuki, Karasawa
Hideya, Iwasaki

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著者名(英) Yuki, Karasawa Hideya, Iwasaki

× Yuki, Karasawa Hideya, Iwasaki

en Yuki, Karasawa
Hideya, Iwasaki

Search repository
論文抄録
内容記述タイプ Other
内容記述 Skeletal parallel programming makes both parallel programs development and parallelization easier. The idea is to abstract generic and recurring patterns within parallel programs as skeletons and provide them as a library whose parallel implementations are transparent to the programmer. SkeTo is a parallel skeleton library that enables programmers to write parallel programs in C++ in a sequential style. However SkeTo's matrix skeletons assume that a matrix is dense so they are incapable of efficiently dealing with a sparse matrix which has many zeros because of duplicated computations and commutations of identical values. This problem is solved by re-formalizing the matrix data type to cope with sparse matrices and by implementing a new C++ class of SkeTo with efficient sparse matrix skeletons based on this new formalization. Experimental results show that the new skeletons for sparse matrices perform well compared to existing skeletons for dense matrices.
論文抄録(英)
内容記述タイプ Other
内容記述 Skeletal parallel programming makes both parallel programs development and parallelization easier. The idea is to abstract generic and recurring patterns within parallel programs as skeletons and provide them as a library whose parallel implementations are transparent to the programmer. SkeTo is a parallel skeleton library that enables programmers to write parallel programs in C++ in a sequential style. However, SkeTo's matrix skeletons assume that a matrix is dense, so they are incapable of efficiently dealing with a sparse matrix, which has many zeros, because of duplicated computations and commutations of identical values. This problem is solved by re-formalizing the matrix data type to cope with sparse matrices and by implementing a new C++ class of SkeTo with efficient sparse matrix skeletons based on this new formalization. Experimental results show that the new skeletons for sparse matrices perform well compared to existing skeletons for dense matrices.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11464814
書誌情報 情報処理学会論文誌プログラミング(PRO)

巻 49, 号 SIG3(PRO36), p. 1-15, 発行日 2008-03-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7802
出版者
言語 ja
出版者 情報処理学会
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