Distributed artificial neural network architectures

Proceedings - International Symposium on High Performance Computing Systems and Applications

Volumn , Issue , 2005, Pages 2-10

  Calvert, David ^a   Guan, Jiawen ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BACK-PROPAGATION LEARNING; COMPUTATIONAL COST; DISTRIBUTED NEURAL NETWORKS;

BACKPROPAGATION; COMPUTER ARCHITECTURE; DISTRIBUTED COMPUTER SYSTEMS; LEARNING SYSTEMS; SELF ORGANIZING MAPS;

MULTILAYER NEURAL NETWORKS;

EID: 28744455443     PISSN: 15505243     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCS.2005.24     Document Type: Conference Paper

References (18)

1. G.R. Andrews and F.B. Schneider. Concepts and Notations for Concurrent Programming. ACM Computing Surveys, 15(1), March 1983.
2. Fabien Belloir, Antoine Fache, and Alain Billat. A General Approach to Construct RBF Net-Based Classifier. European Symposium on Artificial Neural Networks, pages 399-404, 1999.
3. C. Bishop. Neural Networks For Pattern Recognition. Oxford University Press, 1995.
4. D.E.Rumelhart and J.L.McClelland. Parallel Distributed Processing: Exploration in the Microstructure of Cognition. The MIT press, Cambridge, Mass, 1986.
5. G.A.Geist, J.A.Kohl, and P.M.Papadopoulos. PVM and MPI: a Comparison of Features. Calculateurs Parallels, 8(2), 1996.
6. William Gropp, Ewing Lusk, and Anthony Skjellum. Using MPI - 2nd EditionPortablc Parallel Programming with the Message Passing Interface. The MIT Press, November 1999.
7. A. Johnson. Introduction to mpi. Technical report, 2001. Army High Performance Computing Research Center Summer Institute Course Notes.
8. T. Kohonen. Automatic Formation Of Topological Maps Of Patterns In A SelfOrganizing System. In E. Oja and O. Simula, editors, Proceedings of 2SCIA, Scand. Conference on Image Analysis, pages 214-220, Helsinki, Finland, 1981. Suomen Hahmontunnistustutkimuksen Seura r.y.
9. T. Kohonen. Self-Organizing Map. Springer-Verlag, Berlin, second edition, 1995.
10. C. P. Kruskal, L. Rudolph, and M Snir. Efficient Synchronization On Multiprocessors With Shared Memory. In Proceedings of the 5th ACM Symposium on Principles of Distributed Computing, pages 218-228, 1996.
11. John M. Mellor-Crummey and Michael L. Scott. Algorithms for Scalable Synchronization on Shared-Memory Multiprocessors. ACM Transactions on Computer Systems, 9(1):21-65, 1991.
12. M. J. D. Powell. Radial Basis Functions for Multivariable Interpolation: a Review, pages 143-167. Algorithms for Approximation. Clarendon Press, 1987.
13. C.F.N. Cowan S.Chen and P.M.Grant. Orthogonal Least Squares Learning Algorithm For Radial Basis Function Networks. IEEE Transactions on Neural Networks, 2(2):302-309, 1991.
14. Udo Seiffert. Artificial Neural Networks on Massively Parallel Computer Hardware. 10. European Symposium on Artificial Neural Networks ESANN 2002, pages 319-330, 2002.
15. Nikola B. Serbedzija. Simulating Artificial Neural Networks on Parallel Architectures. Computer, 29(3):56-63, March 1996.
16. N. Sundararajan and P. Saratchandran. Parallel architectures for artificial neural networks: paradigms and implementations. IEEE Computer Society, 1998.
17. Ian Taylor. Parallel Self-Organising Neural Networks. Technical report. www.cs.cf.ac.uk/user/I.J.Taylor/Ann/parallel.html.
18. T.Nordstrom and B.Svensson. Using And Designing Massively Parallel Computers For Artificial Neural Networks. J.Parallel And Distrbuited Computing, 14(3):260-285, 1992.