@inproceedings{022bb0b56dd749cdb215ba520a3a8047,
title = "Optimal task clustering using Hopfield net",
abstract = "To achieve high performance in a distributed system, the tasks of a program have to be carefully clustered and assigned to processors. In this paper we present a static method to cluster tasks and allocate them to processors. The proposed method relies on the Hopfield neural network to achieve optimum or near-optimum task clustering in terms of load balancing and communication cost. Experimental studies show that this method indeed can find optimal or near-optimal mapping for those programs used in our tests.",
author = "Weiping Zhu and Liang, {Tyng Yeu} and Shieh, {Ce Kuen}",
note = "Publisher Copyright: {\textcopyright} 1997 IEEE.; 3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997 ; Conference date: 10-12-1997 Through 12-12-1997",
year = "1997",
doi = "10.1109/ICAPP.1997.651513",
language = "English",
series = "1997 3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "451--464",
editor = "Wanlei Zhou and Andrzej Goscinski and Michael Hobbs",
booktitle = "1997 3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997",
address = "United States",
}