Title
Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems
Abstract
Dynamic Loop Scheduling (DLS) algorithms are a powerful approach towards improving the performance of scientific applications via load balancing. The adaptive DLS (ADLS) methods have been proven to be the most appropriate for effectively balancing such applications, due to the fact that they are designed to address highly irregular, stochastic behavior caused by algorithmic and systemic variations. To guarantee certain performance levels of such DLS methods, metrics are required to measure their robustness against various unpredictable variations of factors in the computing environment. In this paper, the focus is on investigating metrics for the robustness of two Adaptive Weighted Factoring (AWF) techniques, AWFB and AWFC, as well as of the Adaptive Factoring (AF) technique. Two robustness metrics, called flexibility and resilience, are formulated for these techniques. We also discuss their computational complexity and give notes on their usefulness.
Year
DOI
Venue
2010
10.1109/IPDPSW.2010.5470763
IPDPS Workshops
Keywords
Field
DocType
adaptive dynamic loop scheduling algorithm,adaptive dls methods,scheduling,adaptive factoring technique,adaptive weighted factoring technique,stochastic behavior,natural sciences computing,resource allocation,heterogeneous computing systems,computational complexity,load balancing,resource management,algorithm design and analysis,measurement,robustness,scheduling algorithm,dynamic scheduling,heterogeneous computing,resilience,load balance
Load management,Load balancing (computing),Computer science,Scheduling (computing),Symmetric multiprocessor system,Robustness (computer science),Resource allocation,Dynamic priority scheduling,Distributed computing,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-4244-6533-0
8
0.56
References 
Authors
14
3
Name
Order
Citations
PageRank
Srishti Srivastava1426.42
Ioana Banicescu239539.18
Ciorba Florina M.312522.96