High performance grid and cluster computing for some optimization problems

Katsuki Fujisawa, Masakazu Kojima, Akiko Takeda, Makoto Yamashita

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

The aim of this short article is to show that grid and cluster computing provides tremendous power to optimization methods. The methods that the article picks up are a successive convex relaxation method for quadratic optimization problems, a polyhedral homotopy method for polynomial systems of equations and a primal-dual interior-point method for semidefinite programming problems. Their parallel implementations on grids and clusters together with numerical results are reported.

本文言語英語
ホスト出版物のタイトルProceedings - 2004 International Symposium on Applications and the Internet Workshops (Saint 2004Workshops)
出版社IEEE Computer Society
ページ612-615
ページ数4
ISBN(印刷版)0769520502, 9780769520506
DOI
出版ステータス出版済み - 2004
外部発表はい
イベントProceedings - 2004 International Symposium on Applications and the Internet Workshops (Saint 2004Workshop) - Tokyo, 日本
継続期間: 1 26 20041 30 2004

出版物シリーズ

名前Proceedings - International Symposium on Applications and the Internet Workshops

その他

その他Proceedings - 2004 International Symposium on Applications and the Internet Workshops (Saint 2004Workshop)
国/地域日本
CityTokyo
Period1/26/041/30/04

All Science Journal Classification (ASJC) codes

  • 工学(全般)

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