The 'Neural' Phonetic Typewriter
Computer
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Using and designing massively parallel computers for artificial neural networks
Journal of Parallel and Distributed Computing - Special issue on neural computing on massively parallel processing
Self-organizing maps
Mapping of SOM and LVQ algorithms on a tree shape parallel computer system
Parallel Computing
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IEEE Transactions on Computers
Parallel Implementation of Self-Organizing Map on the Partial Tree Shape Neurocomputer
Neural Processing Letters
Kohonen Maps
Internet Streaming SIMD Extensions
Computer
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IEEE Software
Neural network based hand-eye positioning with a transputer-based system
HPCN Europe '95 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Very Large Two-Level SOM for the Browsing of Newsgroups
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
APDC '97 Proceedings of the 1997 Advances in Parallel and Distributed Computing Conference (APDC '97)
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
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Scientific Programming - Parallel Computing Projects of the Swiss Priority Programme
Embedded DRAM: more than just a memory
IEEE Communications Magazine
Modified self-organizing feature map algorithms for efficient digital hardware implementation
IEEE Transactions on Neural Networks
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Fast neural net simulation with a DSP processor array
IEEE Transactions on Neural Networks
Matching of medical images by self-organizing neural networks
Pattern Recognition Letters
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
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This chapter focuses on parallel implementations of the Self-Organizing Map (SOM) featuring different levels of parallelism. The basic arithmetic-logical operations of SOM are first reviewed for a consideration of implementation issues such as number precision, memory consumption and time complexity. Mapping involves network, training set, neuron and weight parallelism. Examples of the weight and neuron parallel mappings are given for abstract platforms to conduct general principles. Neuron parallel mapping is considered in great detail as it is the most commonly used approach. A review of implementations is given from supercomputers to VLSI (Very Large Scale Integration) chips with criteria for performance comparison.