DocumentCode :
3190497
Title :
SSI-OSCAR: a cluster distribution for high performance computing using a single system image
Author :
Vallée, Geoffroy ; Scott, Stephen L. ; Morin, Christine ; Berthou, Jean-Yves ; Prisker, Hugues
Author_Institution :
Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., TN, USA
fYear :
2005
fDate :
15-18 May 2005
Firstpage :
319
Lastpage :
325
Abstract :
The ease use and management of clusters needs tools to install, update and transparently manage distributed clusters resources. The management of clusters (node installations and updates) is a well-known problem and some high performance computing specific distributions are available today. These distributions, like OSCAR, allow users to install and manage clusters without specialized knowledge, allowing quick cluster deployment. The ease use of cluster is possible globally and transparently managing cluster resources. Single system image (SSI) has this approach and some projects provide a SSI for Linux clusters. But today, there is no solution combining these two advantages: integration of a SSI and a distribution for high performance computing on Linux clusters. This paper presents SSI-OSCAR, which aims at providing such a solution, combining OSCAR and the Kerrighed SSI.
Keywords :
DP management; Linux; computer installation; software packages; workstation clusters; Kerrighed SSI; Linux cluster; Open Source Cluster Application Resource; SSI-OSCAR; cluster distribution; cluster installation; distributed cluster resource management; high performance computing; single system image; software package; Computer architecture; Computer science; Government; High performance computing; Laboratories; Linux; Mathematics; Packaging machines; Resource management; Software packages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing Systems and Applications, 2005. HPCS 2005. 19th International Symposium on
ISSN :
1550-5243
Print_ISBN :
0-7695-2343-9
Type :
conf
DOI :
10.1109/HPCS.2005.50
Filename :
1430089
Link To Document :
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