Evolving hardware on a large scale

M. Korkin, Gary Fehr, G. Jeffery
{"title":"Evolving hardware on a large scale","authors":"M. Korkin, Gary Fehr, G. Jeffery","doi":"10.1109/EH.2000.869355","DOIUrl":null,"url":null,"abstract":"This paper presents a detailed technical description of a large-scale evolvable hardware system for evolving complex digital circuits directly in silicon at high speed. The core of the system is a three-dimensional array of reconfigurable logic with 5.2 million fine-grained function units and 1.2 Gbyte distributed memory. An application example is presented, describing an evolution of cellular automata based neural networks and a simulation of a hardware-based 75-million neuron artificial brain in real time. The system was developed in 1997-2000 at Genobyte, Inc. (Boulder, Colorado) for ATR HIP (Kyoto, Japan), and is marketed as CAM-Brain Machine (CBM). CBM features a true run-time logic reconfiguration, a hardware implementation of chromosome crossover and mutation, and a hardware-based fitness evaluation. CBM also features a sophisticated genotype-phenotype mapping through the process of embryonic growth.","PeriodicalId":432338,"journal":{"name":"Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EH.2000.869355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

This paper presents a detailed technical description of a large-scale evolvable hardware system for evolving complex digital circuits directly in silicon at high speed. The core of the system is a three-dimensional array of reconfigurable logic with 5.2 million fine-grained function units and 1.2 Gbyte distributed memory. An application example is presented, describing an evolution of cellular automata based neural networks and a simulation of a hardware-based 75-million neuron artificial brain in real time. The system was developed in 1997-2000 at Genobyte, Inc. (Boulder, Colorado) for ATR HIP (Kyoto, Japan), and is marketed as CAM-Brain Machine (CBM). CBM features a true run-time logic reconfiguration, a hardware implementation of chromosome crossover and mutation, and a hardware-based fitness evaluation. CBM also features a sophisticated genotype-phenotype mapping through the process of embryonic growth.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大规模发展硬件
本文介绍了一种大规模可演化硬件系统的详细技术描述,该系统可直接在硅上高速演化复杂的数字电路。该系统的核心是一个可重构逻辑的三维阵列,拥有520万个细粒度功能单元和1.2 g字节的分布式内存。给出了一个应用实例,描述了基于元胞自动机的神经网络的进化和基于硬件的7500万个神经元人工大脑的实时仿真。该系统于1997-2000年在Genobyte公司(Boulder, Colorado)为ATR HIP (Kyoto, Japan)开发,并以CAM-Brain Machine (CBM)的名称销售。CBM具有真正的运行时逻辑重新配置、染色体交叉和突变的硬件实现以及基于硬件的适应度评估。CBM还通过胚胎生长过程具有复杂的基因型-表型定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Kernel-based pattern recognition hardware: its design methodology using evolved truth tables Design of decentralized controllers for self-reconfigurable modular robots using genetic programming Scalable evolvable hardware applied to road image recognition State of the art: an evolving FPGA-based board for handwritten-digit recognition Multiobjective optimization techniques: a study of the energy minimization method and its application to the synthesis of ota amplifiers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1