Comparing The Performance Of Two Dynamic Load Distribution Methods
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Comparing the Performance of Two Dynamic Load Distribution Methods
Author: National Aeronautics and Space Administration (NASA)
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2018-07-24
Parallel processing of symbolic computations on a message-passing multi-processor presents one challenge: To effectively utilize the available processors, the load must be distributed uniformly to all the processors. However, the structure of these computations cannot be predicted in advance. go, static scheduling methods are not applicable. In this paper, we compare the performance of two dynamic, distributed load balancing methods with extensive simulation studies. The two schemes are: the Contracting Within a Neighborhood (CWN) scheme proposed by us, and the Gradient Model proposed by Lin and Keller. We conclude that although simpler, the CWN is significantly more effective at distributing the work than the Gradient model. Kale, L. V. Unspecified Center NASA/CR-1987-206201, NAS 1.26:206201, UILU-ENG-87-1776, UIUCDCS-R-87-1387 NSF CCR-87-00988
Proceedings of the 1988 International Conference on Parallel Processing
Author: Faye A. Briggs
language: en
Publisher: Penn State University Press
Release Date: 1988
Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing
This text gives the proceedings for the fifth conference on parallel processing for scientific computing.