计算机科学 ›› 2011, Vol. 38 ›› Issue (9): 282-287.

• 体系结构 • 上一篇    下一篇

墙的另一面—图灵模型更深层次的思考

李奕权,郑利龙   

  1. (中山大学软件学院 广州 510006);(城市大学电子工程学系 香港)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受香港特区政府科技发展局专利申请资助。

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

LEE Yick Kuen , CHENG Lee Lung   

  • Online:2018-11-16 Published:2018-11-16

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,成为图灵一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。201。年9月15日,美国波士敦的高性能嵌入式计算(HPEC)研讨会上,耳卜鲁大学的欧亨尼奥·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。

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

Abstract: 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 VonNeumann machine program and neural network transformation. hhe paper analysed the similarities and differences of these two process and proposed a computer system based on micro-kernel architecture and diverted into Voneumann or neural transform according to the maturity and speed requirement. Irritating biological organism intellect, this kind of computer, serves as a tool for human beings. Professor Eugenio Culurciello of Yale, with Yann LcCun of NYLJ, presented a high performance Embedded computer, NcuFlow, on HPEC workshop 2010-9-15 in Boston, its system architecture concepts are quire similar to the Pseudo-Organic computer proposed in this paper.

Key words: Pseudo-orgaruc computer, System architecture, Turing machine, Von neumann machine, Neural network, Information transfer

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