DocumentCode :
1998691
Title :
Using OSCAR to Win the Cluster Challenge
Author :
Greidanus, Paul ; Klok, Gordon Willem
Author_Institution :
Center of Excellence in Integrated Nanotools, Univ. of Alberta, Edmonton, AB
fYear :
2008
fDate :
9-11 June 2008
Firstpage :
47
Lastpage :
51
Abstract :
This paper discusses using OSCAR (open source cluster administration resource) to compete and win, in the first ever cluster challenge competition at supercomputing 2007. The cluster challenge invited teams of undergraduate students to assemble a cluster and compete for 44 hours on the conference floor. The teams competed in two main areas; (i) achieving the best results on the high performance computing challenge benchmark and (ii) who could complete the most of a selection of data sets for several common scientific applications. In the this document we explain why Team Alberta chose OSCAR, how we feel it contributed to our success and our experiences using it.
Keywords :
open systems; public domain software; workstation clusters; cluster challenge; high performance computing; open source cluster administration resource; Application software; Assembly; Chemistry; Distributed computing; Hardware; High performance computing; Oceans; Open source software; Packaging; Software packages; Cluster; HPC; OSCAR; System Administration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing Systems and Applications, 2008. HPCS 2008. 22nd International Symposium on
Conference_Location :
Quebec City, Que.
ISSN :
1550-5243
Print_ISBN :
978-0-7695-3250-9
Type :
conf
DOI :
10.1109/HPCS.2008.22
Filename :
4556072
Link To Document :
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