Parallel realizations of Kanerva's sparse distributed memory on a tree-shaped computer

Concurrency Practice and Experience

Volumn 9, Issue 9, 1997, Pages 877-896

  Hämäläinen, Timo ^a   Klapuri, Harri ^a   Saarinen, Jukka ^a   Kaski, Kimmo ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS; DATA STORAGE EQUIPMENT; INFORMATION RETRIEVAL; MAPPING; NEURAL NETWORKS; PERFORMANCE;

COMPUTING PLATFORM; GRANULARITIES; PARALLEL REALIZATION; PARALLELIZATION; SPARSE DISTRIBUTED MEMORY; TREE SHAPED COMPUTER;

PARALLEL PROCESSING SYSTEMS;

EID: 0031222016     PISSN: 10403108     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1096-9128(199709)9:9<877::AID-CPE276>3.0.CO;2-0     Document Type: Article

References (28)

1. M. Ito, The Cerebellum and Neuronal Control, Raven Press, New York, 1984.
2. R. Linás, 'The cortex of the cerebellum', Sci. Am., 232, (1), 56-71 (1975).
3. J. Albus, 'Brains, behaviour, and robotics', BYTE, 6, (1981).
4. P. Kanerva, Sparse Distributed Memory, MIT Press, Cambridge, Massachusetts, 1980.
5. L. Jaeckel, 'An alternative design for a sparse distributed memory', RIACS Technical Report 89.28, NASA Ames Research Center, CA, USA, June 1989.
6. R. Prager and F. Fallside, 'The modified Kanerva model for automatic speech recognition', Comput. Speech Lang., 4, (3), 61-81 (1989).
7. D. Danforth, 'An empirical investigation of sparse distributed memory using discrete speech recognition', Proceedings International Neural Network Conference, Paris, vol. 1, 1990, Kluwer Academic Press, Norwell, USA, pp. 183-186.
8. D. Rogers, 'Predicting weather using a genetic memory: a combination of Kanerva's sparse distributed memory and Holland's genetic algorithms', in D. Touretzky (Ed.), Neural Information Processing Systems, Proceedings NIPS-89, San Mateo, vol. 2, 1989, pp. 455-464.
9. R. Brown, 'Two demonstrations and a simulator for a Sparse, distributed memory', RIACS Technical Report 87.17, NASA Ames Research Center, CA, USA, June 1987.
10. J. Vanhala and K. Kaski, 'Simulating neural networks in distributed environments', Developing Transputer Applications, Proceedings of the 11th Occam User Group Technical Meeting, 1989, pp. 129-141.
11. K. Kaski and J. Vanhala, 'Neural networks and MIMD multiprocessors', RIACS Technical Report 90.9, NASA Ames Research Center, CA, USA, February 1990.
12. D. Rogers, 'Kanerva's sparse distributed memory: An associative memory algorithm well-suited to the Connection Machine', Int. J. High Speed Comput., 1, (2), 349-365 (1989).
13. M. Flynn, P. Kanerva, B. Ahanin, N. Bhadkamkar, P. Flaherty and P. Hickey, 'Sparse distributed memory prototype: Principles of operation', Technical Report CSL-TR-87-338, Stanford University, Computer Systems Laboratory, CA, February 1988.
14. M. Lindell, J. Saarinen, K. Kaski and P. Kanerva, 'Highly parallel realization of sparse distributed memory system', Proceedings of the Sixth Distributed Memory Computing Conference, 28 April-1 May 1991, Portland, Oregon, pp. 686-693.
15. T. Nordström, Highly Parallel Computers for Artificial Neural Networks, Doctoral Thesis, LuleåUniversity of Technology, Division of Computer Science and Engineering, Luleå, Sweden, 1995.
16. J. Saarinen, P. Kotilainen and K. Kaski, 'VLSI architectures of sparse distributed memory', Proceedings of 1991 IEEE International Symposium on Circuits and Systems, ISCAS-91, vol. 5, 11-14 June 1991, The Westing Stamford and Westing Plaza, Singapore, pp. 3074-3077.
17. P. Kotilainen, J. Saarinen and K. Kaski, 'A multiprocessor architecture for general purpose neurocomputing applications', Proceedings of Third International Conference on Microelectronics for Neural Networks, MICRO-NEURO 1993, 6-8 April 1993, Edinburgh, Scotland, pp. 35-15.
18. T. Hämäläinen, J. Saarinen and K. Kaski, 'TUTNC: A general purpose parallel computer for neural network computations', Microprocess. Microsyst., 19, (8), 447-465 (1995).
19. S. Haykin, Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Company, NY, USA, 1994.
20. P. Kanerva, 'Sparse distributed memory and related models', Associative Neural Memories - Theory and Implementations, M. Hassoun (Ed.), Oxford University Press, Oxford, UK, 1993, pp. 51-75.
21. D. Rogers, "Statistical prediction with Kanerva's sparse distributed memory', Proceedings of NIPS-88, Neural Information Processing Systems, vol. 1, Kauffmann, San Mateo, CA, 1988, pp. 586-593.
22. J. Saarinen, S. Pohja and K. Kaski, 'Self-organizing with Kanerva's sparse distributed memory', Proceedings of International Conference on Artificial Neural Networks ICANN-91, vol. 1, Helsinki, Finland, 1991, pp. 285-290.
23. S. Pohja and K. Kaski, 'Kanerva's sparse distributed memory with multiple Hamming thresholds', RIACS Technical Report 92.6, NASA Ames Research Center, CA, USA, 1992.
24. P. Kanerva, 'A cerebellar-model associative memory as a generalized random-access memory', RIACS Technical Report 89.11, M. Raugh (Ed.), Cerebellar Models of Associative Memory: Three papers from IEEE COMPCON Spring '89, NASA Ames Research Center, 1989.
25. A. DeCegama, The Technology of Parallel Processing, Parallel Processing Architectures and VLSI Hardware, vol. 1, Prentice Hall, 1989.
26. T. Nordström and B. Svensson, 'Using and designing massively parallel computers for artificial neural networks', J. Parallel Distrib. Comput., 14, (3), 260-285 (1992).
27. G. Fox, M. Johnson, G. Lyzenga, S. Otto, J. Salmon and D. Walker, Solving Problems on Concurrent Processors, vol. 1, Prentice Hall, 1988.
28. E. Solari and G. Willse, PCI Hardware and Software, Annabooks, San Diego, USA, 1994.