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Scheduling Instructions on Hierarchical Machines
Blachot, Florent; Huard, Guillaume; Pecero, Johnatan et al.
2010In 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
Peer reviewed
 

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Keywords :
Scheduling; Performance of Systems; Optimization
Abstract :
[en] The aim of this work is to study the problem of scheduling fine grain task graphs on hierarchical distributed systems with communication delay. We consider as a case study how to schedule the instructions on a processor that implements incomplete bypass ( ST200). We show first how this problem can be expressed as scheduling unitary tasks on a hierarchical architecture with heavy communications between clustered units. The proposed analysis is generic and can be extended to other challenging problems like scheduling in clusters of multi-cores. Our main result is an approximation algorithm based on list scheduling whose approximation ratio is the minimum of two expressions, the first one depends on the number of clusters while the second one depends on the communication delay. Experiments run on random graphs and on structured graphs demonstrate the effectiveness of the proposed approach.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2011-019
Author, co-author :
Blachot, Florent
Huard, Guillaume
Pecero, Johnatan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Saule, Erik
Trystram, Denis
Language :
English
Title :
Scheduling Instructions on Hierarchical Machines
Publication date :
23 April 2010
Event name :
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), (PDSEC'10)
Event place :
Atlanta, United States - Georgia
Event date :
from 19-04-2010 to 23-04-2010
Audience :
International
Main work title :
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
Publisher :
IEEE
ISBN/EAN :
978-1-4244-6533-0
Pages :
1-8
Peer reviewed :
Peer reviewed
Commentary :
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), (PDSEC'10)
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