Tuning application in a multi-cluster environment

被引:0
作者
Argollo, Eduardo [1 ]
Gaudiani, Adriana
Rexachs, Dolores
Luque, Emilio
机构
[1] Univ Autonoma Barcelona, Comp Architecture & Operat Syst Dept, E-08193 Barcelona, Spain
[2] Univ Nacl Gen Sarmiento, Inst Ciencias Infromat, Buenos Aires, DF, Argentina
来源
EURO-PAR 2006 PARALLEL PROCESSING | 2006年 / 4128卷
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The joining of geographically distributed heterogeneous clusters of workstations through the Internet can be a simple and effective approach to speed up a parallel application execution. This paper describes a methodology to migrate a parallel application from a single-cluster to a collection of clusters, guaranteeing a minimum level of efficiency. This methodology is applied to a parallel scientific application to use three geographically scattered clusters located in Argentina, Brazil and Spain. Experimental results prove that the speedup and efficiency estimations provided by this methodology are more than 90% precision. Without the tuning process of the application a 45% of the maximum speedup is obtained whereas a 94% of that maximum speedup is attained when a tuning process is applied. In both cases efficiency is over 90%.
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页码:78 / 88
页数:11
相关论文
共 11 条
[1]   Distributed computing with hierarchical master-worker paradigm for parallel branch and bound algorithm [J].
Aida, K ;
Natsume, W ;
Futakata, Y .
CCGRID 2003: 3RD IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, PROCEEDINGS, 2003, :156-163
[2]  
Argollo E, 2004, LECT NOTES COMPUT SC, V3241, P311
[3]  
ARGOLLO E, 2004, LNCS, V3732
[4]   Optimizing parallel applications for wide-area clusters [J].
Bal, HE ;
Plaat, A ;
Bakker, MG ;
Dozy, P ;
Hofman, RFH .
FIRST MERGED INTERNATIONAL PARALLEL PROCESSING SYMPOSIUM & SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING, 1998, :784-790
[5]   The master-slave paradigm with heterogeneous processors [J].
Beaumont, O ;
Legrand, A ;
Robert, Y .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2003, 14 (09) :897-908
[6]  
Carusela MF, 2001, PHYS REV E, V64, DOI 10.1103/PhysRevE.64.031101
[7]   Speedup and efficiency of large-size applications on heterogeneous networks [J].
Colombet, L ;
Desbat, L .
THEORETICAL COMPUTER SCIENCE, 1998, 196 (1-2) :31-44
[8]   The grid: A new infrastructure for 21st century science [J].
Foster, I .
PHYSICS TODAY, 2002, 55 (02) :42-47
[9]   Performance analysis of heterogeneous mullti-cluster systems [J].
Javadi, B ;
Akbari, MK ;
Abawajy, JH .
2005 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS, PROCEEDINGS, 2005, :493-500
[10]   THEORY OF STOCHASTIC RESONANCE [J].
MCNAMARA, B ;
WIESENFELD, K .
PHYSICAL REVIEW A, 1989, 39 (09) :4854-4869