DocumentCode :
1384938
Title :
Collection-aware optimum sequencing of operations and closed-form solutions for the distribution of a divisible load on arbitrary processor trees
Author :
Barlas, Gerassimos D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
9
Issue :
5
fYear :
1998
fDate :
5/1/1998 12:00:00 AM
Firstpage :
429
Lastpage :
441
Abstract :
The problem of optimally distributing a divisible load to the nodes of an arbitrary processor tree is tackled in this paper. The rigorous mathematical foundation presented allows the derivation of the sequence of operations that is necessary to obtain the minimum processing time, along with closed-form expressions that yield the solution in time O(NP), where P is the number of tree nodes and N their maximum degree. The main contributions of this work are: (1) both load distribution and result collection overheads are considered, thus providing better resource utilization, and (2) arbitrary processor trees are examined in contrast with previous approaches that examined either complete homogeneous trees, or single level trees. Additionally, approximate algorithms for solving the problem of specifying the optimum subset of active processors for a given load, are presented and evaluated
Keywords :
network operating systems; processor scheduling; resource allocation; trees (mathematics); arbitrary processor tree; arbitrary processor trees; closed-form expressions; collection-aware load distribution; data-parallel applications; distribution and collection sequencing; divisible load; load distribution; minimum processing time; optimum subset; resource utilization; result collection; time O(NP); Closed-form solution; Distributed computing; Helium; Image databases; Image processing; Message passing; Parallel processing; Pattern matching; Resource management; Vector quantization;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/71.679214
Filename :
679214
Link To Document :
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