DocumentCode :
2844513
Title :
Building efficient multi-core clusters for high performance computing
Author :
Pinto, Luiz Carlos ; Tomazella, Luiz H B ; Dantas, M.A.R.
Author_Institution :
Dept. of Inf. & Stat., Fed. Univ. of Santa Catarina, Florianopolis
fYear :
2008
fDate :
6-9 July 2008
Firstpage :
474
Lastpage :
479
Abstract :
Multi-core technology produces a new scenario for communicating processes in an MPI cluster environment and consequently the involved trade-offs need to be uncovered. This motivation guided our research and lead to a new approach for setting up more efficient clusters built with commodities. Thus, alternatively to the utilization of non-commodity interconnects such as Myrinet and Infiniband, we present a proposal based on leaving cores idle relatively to application processing in order to build economically more accessible clusters of commodities with higher performance. Execution of fine-grained IS algorithm from NAS parallel benchmark revealed a speedup of up to 25%. Interestingly, a cluster set up according to the proposal was able to outperform a single multi-core SMP host in which all processes communicate inside the host. Therefore, empirical results indicate that our proposal has been successful for medium and fine-grained algorithms.
Keywords :
application program interfaces; message passing; multiprocessing systems; pattern clustering; Infiniband; MPI cluster environment; Myrinet; NAS parallel benchmark; fine-grained algorithms; high performance computing; multicore clusters; noncommodity interconnects; Clustering algorithms; Computational fluid dynamics; Environmental economics; Fabrics; High performance computing; Informatics; Parallel processing; Parallel programming; Proposals; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 2008. ISCC 2008. IEEE Symposium on
Conference_Location :
Marrakech
ISSN :
1530-1346
Print_ISBN :
978-1-4244-2702-4
Electronic_ISBN :
1530-1346
Type :
conf
DOI :
10.1109/ISCC.2008.4625735
Filename :
4625735
Link To Document :
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