墙的另一面——图灵模型更深层次的思考  

Another Side of the Wall——Deeper Thinking in Turing Model

作　　者：李奕权[1] 郑利龙 

机构地区：[1]中山大学软件学院,广州510006 [2]城市大学电子工程学系

出　　处：《计算机科学》2011年第9期282-287,共6页Computer Science

基　　金：香港特区政府科技发展局专利申请资助

摘　　要：最近几年,计算机体系迈向多处理器结构道路。然而,冯诺曼机器主导的多核结构,令我们处在存储墙错误的一面。地址参数引入的冗余,降低了处理器的效率,成为图灵-冯诺曼模型的致命要害。对图灵模型作更深一层思考,以信息变换统一了冯诺曼机器程序变换和神经网络变换,分析了两种变换的异同及其优劣。提出以微核为基础,并按变换的成熟程度,向灵活的可编程的冯氏机器或高速的神经网络分化。模拟生物神经系统的进化,构建为人们服务的智能机器。2010年9月15日,美国波士敦的高性能嵌入式计算(HPEC)研讨会上,耶鲁大学的欧亨尼奥.卡鲁塞伊罗教授发表了一个基于人类视觉系统的高性能计算机"神经流"(NeuFlow),其体系结构利用了与本文的仿生电脑十分相似的概念。Computer has entered into the era of multi-processor structure.However,multicore puts us on the wrong side of the wall.The memory address parameters introduce extra-redundant,decrease system efficiency.This paper proposed a new kind of model by considering intelligent processes as a transformation on information.This model unifies the Von-Neumann machine program and neural network transformation.The paper analysed the similarities and differences of these two process and proposed a computer system based on micro-kernel architecture and diverted into Von-Neumann or neural transform according to the maturity and speed requirement.Imitating biological organism intellect,this kind of computer,serves as a tool for human beings.Professor Eugenio Culurciello of Yale,with Yann LeCun of NYU,presented a high performance Embedded computer,NeuFlow,on HPEC workshop 2010-9-15 in Boston,its system architecture concepts are quire similar to the Pseudo-Organic computer proposed in this paper.

关 键 词：仿生电脑 体系结构 图灵机 冯诺曼机器 神经网络 信息变换 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]