Title
Task Assignment Heuristics for Distributed CFD Applications
Abstract
Abstract: This paper proposes a task graph (TG) model to represent a single discrete step of a computational fluid dynamics (CFD) application. The TG model is then used to predict the performance of a set of task assignment heuristics developed based on the constraints inherent in the CFD problem. Two primitive assignments, the Largest Task First and the Minimum Task First, are systematically enhanced by the integration of the status of the processing units and communication costs. Evaluation is performed on a synthetic TG with tasks defined in terms of the number of gridpoints in predetermined grid zones. A realistic problem with eight million gridpoints is also used as a test case.
Year
DOI
Venue
2001
10.1109/ICPPW.2001.951915
ICPP Workshops
Keywords
Field
DocType
cfd applications,minimum task first,communication cost,cfd problem,task graph,tg model,synthetic tg,task assignment heuristics,largest task first,million gridpoints,realistic problem,mesh generation,computational fluid dynamics,task analysis,computational modeling,performance,distributed memory,computer applications,computer science,aerodynamics,grid computing,application software,mathematical models,predictive models
Graph,Task analysis,Computer science,Parallel computing,Distributed memory,Eight million,Heuristics,Computational fluid dynamics,Mathematical model,Grid
Conference
ISSN
Citations 
PageRank 
1530-2016
4
1.71
References 
Authors
9
3
Name
Order
Citations
PageRank
N Lopez-Benitez1235.66
m j djomehri241.71
Rupak Biswas3922109.66