Publication | Closed Access
Dynamic load balancing and efficient load estimators for asynchronous iterative algorithms
54
Citations
21
References
2005
Year
Numerical AnalysisCluster ComputingLoad Balancing (Computing)EngineeringDynamic Resource AllocationParallel Iterative AlgorithmsComputer ArchitectureParallel ImplementationCloud Load BalancingEfficient Load EstimatorsLoad ControlParallel MetaheuristicsSystems EngineeringParallel ComputingMassively-parallel ComputingLoad BalancingHigh PowerComputer EngineeringComputer ScienceDynamic LoadAsynchronous Iterative AlgorithmsSmart GridLoad ShiftingParallel ProcessingCloud ComputingParallel ProgrammingDynamic Load Balancing
In a previous paper, we have shown the very high power of asynchronism for parallel iterative algorithms in a global context of grid computing. In this article, we study the interest of coupling load balancing with asynchronism in such algorithms. After proposing a noncentralized version of dynamic load balancing which is best suited to asynchronism, we verify its efficiency by some experiments on a general partial differential equation (PDE) problem. Finally, we give some general conditions for the use of load balancing to obtain good results with this kind of algorithm and discuss the choice of the residual as an efficient load estimator.
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