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VLSI Design
Volume 2, Issue 4, Pages 353-364
http://dx.doi.org/10.1155/1995/53054

Least Common Ancestor Networks

Department of Information and Computer Science, University of California, Irvine, Irvine 92717, California, USA

Copyright © 1995 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Richert Wang, Enrique Cauich, Daniel Valencia, and Isaac D. Scherson, “High performance clusters using NEOS,” 2007 IEEE International Conference on Cluster Computing, pp. 204–210, . View at Publisher · View at Google Scholar
  • Isaac D. Scherson, and Daniel S. Valencia, “Service address routing: A network architecture for tightly coupled distributed computing systems,” Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN, vol. 2005, pp. 296–303, 2005. View at Publisher · View at Google Scholar
  • Isaac D. Scherson, Daniel S. Valencia, and Enrique Cauich, “Service address routing: a network-embedded resource management layer for cluster computing,” Parallel Computing, vol. 33, no. 7-8, pp. 561–571, 2007. View at Publisher · View at Google Scholar
  • Isaac D. Scherson, Enrique Cauich, and Daniel S. Valencia, “Service discovery for GRID computing using LCAN-mapped hierarchical directories,” The Journal of Supercomputing, vol. 42, no. 1, pp. 19–32, 2007. View at Publisher · View at Google Scholar
  • Isaac D. Scherson, Daniel Valencia, Enrique Cauich, John Duselis, and Richert Wang, “Federated grid clusters using service address routed optical networks,” Future Generation Computer Systems, vol. 23, no. 8, pp. 957–967, 2007. View at Publisher · View at Google Scholar
  • Daniel S. Valencia, and Isaac D. Scherson, “Cost-performance analysis of service-address-routed least-common-ancestor networks,” Journal of Interconnection Networks, vol. 9, no. 1-2, pp. 157–176, 2008. View at Publisher · View at Google Scholar
  • Guocai Chen, Alex Tsoi, Hua Xu, and W. Jim Zheng, “Predict effective drug combination by deep belief network and Ontology Fingerprints,” Journal of Biomedical Informatics, 2018. View at Publisher · View at Google Scholar