• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nature >A system hierarchy for brain-inspired computing
【24h】

A system hierarchy for brain-inspired computing

机译：脑激发计算的系统层次结构

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Neuromorphic computing draws inspiration from the brain to provide computing technology and architecture with the potential to drive the next wave of computer engineering(1-13). Such brain-inspired computing also provides a promising platform for the development of artificial general intelligence(14,15). However, unlike conventional computing systems, which have a well established computer hierarchy built around the concept of Turing completeness and the von Neumann architecture(16-18), there is currently no generalized system hierarchy or understanding of completeness for brain-inspired computing. This affects the compatibility between software and hardware, impairing the programming flexibility and development productivity of brain-inspired computing. Here we propose 'neuromorphic completeness', which relaxes the requirement for hardware completeness, and a corresponding system hierarchy, which consists of a Turing-complete software-abstraction model and a versatile abstract neuromorphic architecture. Using this hierarchy, various programs can be described as uniform representations and transformed into the equivalent executable on any neuromorphic complete hardware-that is, it ensures programming-language portability, hardware completeness and compilation feasibility. We implement toolchain software to support the execution of different types of program on various typical hardware platforms, demonstrating the advantage of our system hierarchy, including a new system-design dimension introduced by the neuromorphic completeness. We expect that our study will enable efficient and compatible progress in all aspects of brain-inspired computing systems, facilitating the development of various applications, including artificial general intelligence.The concept of neuromorphic completeness and a system hierarchy for neuromorphic computing are presented, which could improve programming-language portability, hardware completeness and compilation feasibility of brain-inspired computing systems
机译：神经形态计算从大脑汲取灵感，以提供计算技术和架构，其中可能导致下一波计算机工程（1-13）。这种脑脑灵感的计算还为人工综合情报（14,15）的发展提供了有希望的平台。然而，与传统的计算系统不同，该系统具有围绕图灵完整性和von Neumann架构（16-18）的概念构建的围绕围绕概念构建的良好的计算机层次，目前没有广义系统层次结构或对脑激发计算的完整性的理解。这影响了软件与硬件之间的兼容性，损害了脑激发计算的编程灵活性和发展生产力。在这里，我们提出了“神经形态的完整性”，它放宽了硬件完整性的要求，以及相应的系统层次结构，它包括提出完整的软件抽象模型和多功能的抽象神经形状架构。使用此层次结构，可以将各种程序描述为均匀的表示，并转换为任何神经形态完整硬件上的等效可执行文件 - 也就是说，它确保了编程 - 语言的可移植性，硬件完整性和编译可行性。我们实现了工具链软件，支持在各种典型硬件平台上执行不同类型的程序，展示我们系统层次结构的优势，包括由神经形态完整性引入的新系统设计维度。我们预计我们的研究将在脑激发的计算系统的所有方面都能实现高效和兼容的进展，促进各种应用的发展，包括人为总智能。介绍了神经形态的概念和神经形态计算的系统层次，可以提高脑激发计算系统的编程语言便携性，硬件完整性和汇编可行性

著录项

  • 来源
    《Nature》 |2020年第7829期|378-384|共7页
  • 作者

    Zhang Youhui; Qu Peng; Ji Yu; Zhang Weihao; Gao Guangrong; Wang Guanrui; Song Sen; Li Guoqi; Chen Wenguang; Zheng Weimin; Chen Feng; Pei Jing; Zhao Rong; Zhao Mingguo; Shi Luping;

  • 作者单位

    Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China|Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

    Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China|Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

    Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China|Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Precis Instruments Beijing Peoples R China;

    Univ Delaware Dept Elect & Comp Engn Newark DE USA;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Precis Instruments Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Biomed Engn Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Precis Instruments Beijing Peoples R China;

    Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

    Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Automat Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Precis Instruments Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Automat Beijing Peoples R China;

    Tsinghua Univ Ctr Brain Inspired Comp Res CBICR Beijing Peoples R China|Tsinghua Univ Dept Precis Instruments Beijing Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号