Publication | Closed Access
Asynchronism for iterative algorithms in a global computing environment
25
Citations
6
References
2003
Year
Unknown Venue
Cluster ComputingEngineeringDistributed ProgrammingComputer ArchitectureComputational ComplexityGlobal ComputingParallel AlgorithmsCluster TechnologyParallel SoftwareSystems EngineeringParallel ComputingMassively-parallel ComputingHigh PowerComputer EngineeringComputer ScienceHomogeneous Local ClusterGlobal Computing EnvironmentDistributed ProcessingComputational ScienceParallel ProcessingParallel Programming
The subject of this paper is to show the very high power of asynchronism for iterative algorithms in the context of global computing, that is to say, with machines scattered all around the world. The question is whether or not asynchronism helps to reduce the communication penalty and the overall computation time of a given parallel algorithm. The asynchronous programming model is applied to a given problem implemented with a multi-threaded environment and tested over two kinds of clusters of workstations; a homogeneous local cluster and a heterogeneous non-local one. The main features of this programming model are exhibited and the high efficiency and interest of such algorithms is pointed out.
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