Document Type

Report

Date

9-1991

Keywords

Data allocation, data partitioning, genetic algorithms, load balancing, loosely synchronous algorithms, neural networks, physical optimization methods, recursive bisection, simulated annealing, task allocation.

Language

English

Disciplines

Computer Sciences

Description/Abstract

Three physical optimization methods are considered in this paper for load balancing parallel computations. These are simulated annealing, genetic algorithms, and neural networks. Some design choices and the inclusion of additional steps lead to new versions of the algorithms with different solution qualities and execution times. The performances of these versions are critically evaluated and compared for test cases with different topologies and sizes. Orthogonal recursive coordinate bisection is also included in the comparison as a typical simple deterministic method. Simulation results show that the algorithms have diverse properties. Hence, different algorithms can be applied to different problems and requirements. For example, the annealing and genetic algorithms produce better solutions and do not show a bias towards particular problem structures. But, they are slower than the neural network and recursive bisection. Preprocessing graph contraction is one of the additional steps suggested for the physical methods. It produces a significant reduction in execution time, which is necessary for their applicability to large-scale problems.

Additional Information

School of Computer and Information Science, Syracuse University, SU-CIS-91-47

Source

local

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.