ログイン 新規登録
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 論文誌(トランザクション)
  2. コンピューティングシステム(ACS)
  3. Vol.8
  4. No.4

Hybrid Numerical Solvers for Massively Parallel Eigenvalue Computations and Their Benchmark with Electronic Structure Calculations

https://ipsj.ixsq.nii.ac.jp/records/146084
https://ipsj.ixsq.nii.ac.jp/records/146084
6c6ebb5d-1b1f-4e82-a661-cc0e8aedf559
名前 / ファイル ライセンス アクション
IPSJ-TACS0804011.pdf IPSJ-TACS0804011.pdf (4.4 MB)
Copyright (c) 2015 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2015-11-20
タイトル
タイトル Hybrid Numerical Solvers for Massively Parallel Eigenvalue Computations and Their Benchmark with Electronic Structure Calculations
タイトル
言語 en
タイトル Hybrid Numerical Solvers for Massively Parallel Eigenvalue Computations and Their Benchmark with Electronic Structure Calculations
言語
言語 eng
キーワード
主題Scheme Other
主題 [数値アルゴリズム] massively parallel numerical library, generalized eigenvalue problem, electronic structure calculation, ELPA, EigenExa, the K computer, mini-application
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
Tottori University, JST-CREST
著者所属
Tottori University, JST-CREST
著者所属(英)
en
Tottori University, JST-CREST
著者所属(英)
en
Tottori University, JST-CREST
著者名 Hiroto, Imachi

× Hiroto, Imachi

Hiroto, Imachi

Search repository
Takeo, Hoshi

× Takeo, Hoshi

Takeo, Hoshi

Search repository
著者名(英) Hiroto, Imachi

× Hiroto, Imachi

en Hiroto, Imachi

Search repository
Takeo, Hoshi

× Takeo, Hoshi

en Takeo, Hoshi

Search repository
論文抄録
内容記述タイプ Other
内容記述 Optimally hybrid numerical solvers were constructed for massively parallel generalized eigenvalue problems (GEP). The strong scaling benchmark was carried out on the K computer and other supercomputers for electronic structure calculation problems in the matrix sizes of M=104-106 with up to 105 cores. The procedure of GEP is decomposed into the two subprocedures of the reducer to the standard eigenvalue problem (SEP) and the solver of SEP. A hybrid solver is constructed, when a routine is chosen for each subprocedure from the three parallel solver libraries of ScaLAPACK, ELPA and EigenExa. The hybrid solvers with the two newer libraries, ELPA and EigenExa, give better benchmark results than the conventional ScaLAPACK library. The detailed analysis on the results implies that the reducer can be a bottleneck in next-generation (exa-scale) supercomputers, which provides guidance for future research. The code was developed as a middleware and a mini-application and will appear online.
\n------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.24(2016) No.1(online)
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 Optimally hybrid numerical solvers were constructed for massively parallel generalized eigenvalue problems (GEP). The strong scaling benchmark was carried out on the K computer and other supercomputers for electronic structure calculation problems in the matrix sizes of M=104-106 with up to 105 cores. The procedure of GEP is decomposed into the two subprocedures of the reducer to the standard eigenvalue problem (SEP) and the solver of SEP. A hybrid solver is constructed, when a routine is chosen for each subprocedure from the three parallel solver libraries of ScaLAPACK, ELPA and EigenExa. The hybrid solvers with the two newer libraries, ELPA and EigenExa, give better benchmark results than the conventional ScaLAPACK library. The detailed analysis on the results implies that the reducer can be a bottleneck in next-generation (exa-scale) supercomputers, which provides guidance for future research. The code was developed as a middleware and a mini-application and will appear online.
\n------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.24(2016) No.1(online)
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11833852
書誌情報 情報処理学会論文誌コンピューティングシステム(ACS)

巻 8, 号 4, 発行日 2015-11-20
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7829
出版者
言語 ja
出版者 情報処理学会
戻る
0
views
See details
Views

Versions

Ver.1 2025-01-20 06:50:05.204379
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3