Title
Communication Models Insights Meet Simulations.
Abstract
It is well-known that taking into account communications while scheduling jobs in large scale parallel computing platforms is a crucial issue. In modern hierarchical platforms, communication times are highly different when occurring inside a cluster or between clusters. Thus, allocating the jobs taking into account locality constraints is a key factor for reaching good performances. However, several theoretical results prove that imposing such constraints reduces the solution space and thus, possibly degrades the performances. In practice, such constraints simplify implementations and most often lead to better results. Our aim in this work is to bridge theoretical and practical intuitions, and check the differences between constrained and unconstrained schedules (namely with respect to locality and node contiguity) through simulations. We have developed a generic tool, using SimGrid as the base simulator, enabling interactions with external batch schedulers to evaluate their scheduling policies. The results confirm that insights gained through theoretical models are ill-suited to current architectures and should be reevaluated.
Year
DOI
Venue
2015
10.1007/978-3-319-27308-2_22
Lecture Notes in Computer Science
Keywords
Field
DocType
FCFS with backfilling,Simulations,Heterogeneity
Cluster (physics),Locality,Scheduling (computing),Computer science,Parallel computing,Models of communication,Implementation,Distributed computing
Conference
Volume
ISSN
Citations 
9523
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Pierre-françois Dutot116613.95
Millian Poquet200.68
Denis Trystram31120160.57