DocumentCode :
2802413
Title :
LeWI: A Runtime Balancing Algorithm for Nested Parallelism
Author :
Garcia, Marta ; Corbalan, Julita ; Labarta, Jesus
Author_Institution :
Barcelona Supercomput. Center, Univ. Politec. de Catalunya UPC, Barcelona, Spain
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
526
Lastpage :
533
Abstract :
We present LeWI: a novel load balancing algorithm, that can balance applications with very different patterns of imbalance. Our algorithm can balance fine grain imbalances, non iterative applications and applications with irregular imbalance. To achieve this LeWI reassigns the computational resources of blocked processes to other processes more loaded. We have implemented LeWI within DLB a Dynamic Load Balancing Library developed by us. DLB helps parallel programming models to make the most of the computational power available with the minimum effort. It solves the imbalance among processes in applications with two levels of parallelism using the malleability of the inner level. The performance evaluation shows that LeWI, the novel balancing algorithm we are presenting in this paper, together with DLB is able to improve the performance of a different range of unbalanced applications and when applied to well balanced applications it does not introduce significant overhead. Therefore we present a mechanism that can be used with any hybrid application without needing a programmer to analyze the application nor modify it.
Keywords :
parallel programming; performance evaluation; resource allocation; LeWI algorithm; dynamic load balancing library; fine grain balancing; nested parallelism; noniterative application; parallel programming model; performance evaluation; Concurrent computing; Iterative algorithms; Load management; Load modeling; Parallel processing; Parallel programming; Programming profession; Runtime library; Testing; Yarn; Dynamic; Load balancing; MPI; OpenMP; Parallelism; Unbalance; hybrid applications; runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location :
Vienna
ISSN :
0190-3918
Print_ISBN :
978-1-4244-4961-3
Electronic_ISBN :
0190-3918
Type :
conf
DOI :
10.1109/ICPP.2009.56
Filename :
5362480
Link To Document :
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