DocumentCode :
648979
Title :
Cluster load balancing algorithms comparison
Author :
Grondzak, K. ; Kortis, P.
Author_Institution :
Dept. of Inf., Univ. of Zilina, Zilina, Slovakia
fYear :
2013
fDate :
24-25 Oct. 2013
Firstpage :
225
Lastpage :
228
Abstract :
This paper deals with the comparison of different load balancing strategies for massively parallel computations on clusters. There are four different strategies presented - static versus dynamic load balancing applied to master-worker and two-level master-worker models. Algorithms were applied to the problem of large matrix multiplication. The obtained results can be generalized to other problems, which require massively parallel computation.
Keywords :
matrix multiplication; parallel processing; cluster load balancing algorithm; dynamic load balancing; massively parallel computation; master-worker model; matrix multiplication; static load balancing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging eLearning Technologies and Applications (ICETA), 2013 IEEE 11th International Conference on
Conference_Location :
Stara Lesna
Print_ISBN :
978-1-4799-2161-4
Type :
conf
DOI :
10.1109/ICETA.2013.6674433
Filename :
6674433
Link To Document :
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