Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach
- 1 November 1997
- journal article
- Published by Elsevier in Journal of Parallel and Distributed Computing
- Vol. 47 (1) , 8-22
- https://doi.org/10.1006/jpdc.1997.1392
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- On-line use of off-line derived mappings for iterative automatic target recognition tasks and a particular class of hardware platformsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multiprocessor scheduling in a genetic paradigmParallel Computing, 1996
- Genetic scheduling of task graphsInternational Journal of Electronics, 1994
- CLUSTER-M PARALLEL PROGRAMMING PARADIGMInternational Journal of High Speed Computing, 1994
- A genetic algorithm for multiprocessor schedulingIEEE Transactions on Parallel and Distributed Systems, 1994
- A distributed heterogeneous supercomputing management systemComputer, 1993
- Allocating modules to processors in a distributed systemIEEE Transactions on Software Engineering, 1989
- Multiple crossbar network integrated supercomputing frameworkPublished by Association for Computing Machinery (ACM) ,1989
- Optimal selection theory for superconcurrencyPublished by Association for Computing Machinery (ACM) ,1989
- Efficient scheduling algorithms for robot inverse dynamics computation on a multiprocessor systemIEEE Transactions on Systems, Man, and Cybernetics, 1988