{"title":"人工神经网络的可重构计算机系统","authors":"J. G. Solheim, G. Myklebust","doi":"10.1109/ICAPP.1995.472186","DOIUrl":null,"url":null,"abstract":"An important property of a parallel computer system, is the interprocessor communication network. This paper addresses the reconfigurable aspects of the RENNS Communication Subsystem. The Subsystem is implemented in Logic Cell Arrays, LCAs, and is therefore reconfigurable to meet the requirements of different applications. Two of the training algorithms for Artificial Neural Networks implemented on RENNS, Back Propagation and Self-Organizing Maps, are briefly described, and it is shown how the communication system can be configured to speed up these algorithms.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"RENNS-a reconfigurable computer system for artificial neural networks\",\"authors\":\"J. G. Solheim, G. Myklebust\",\"doi\":\"10.1109/ICAPP.1995.472186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An important property of a parallel computer system, is the interprocessor communication network. This paper addresses the reconfigurable aspects of the RENNS Communication Subsystem. The Subsystem is implemented in Logic Cell Arrays, LCAs, and is therefore reconfigurable to meet the requirements of different applications. Two of the training algorithms for Artificial Neural Networks implemented on RENNS, Back Propagation and Self-Organizing Maps, are briefly described, and it is shown how the communication system can be configured to speed up these algorithms.<<ETX>>\",\"PeriodicalId\":448130,\"journal\":{\"name\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1995.472186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RENNS-a reconfigurable computer system for artificial neural networks
An important property of a parallel computer system, is the interprocessor communication network. This paper addresses the reconfigurable aspects of the RENNS Communication Subsystem. The Subsystem is implemented in Logic Cell Arrays, LCAs, and is therefore reconfigurable to meet the requirements of different applications. Two of the training algorithms for Artificial Neural Networks implemented on RENNS, Back Propagation and Self-Organizing Maps, are briefly described, and it is shown how the communication system can be configured to speed up these algorithms.<>
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