神经形态系统的软硬件协同设计

R. Manohar
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引用次数: 3

摘要

电子计算机系统的晶体管技术目前处于个位数纳米级。经过六十多年的持续努力,这一巨大的进步导致了计算机在每单位计算能量方面的效率极高。随着软件系统和数字技术越来越多地融入我们的生活,对计算的需求推动了硬件的进步。尽管设备技术取得了这样的进步,通用微处理器——现代计算机的核心——仍然可以被看作是一台具有控制、存储、算术和输入/输出装置的“冯·诺伊曼”计算机。由于对计算的需求有增无减,而晶体管技术的规模却放缓了,因此需要进一步降低单位计算能量的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware/software Co-design for Neuromorphic Systems
Transistor technology for electronic computer systems is now at the single digit nanometer scale. This enormous advance through sustained efforts over more than sixty years has resulted in computers that are extremely efficient in terms of the energy per unit of computation. This progress in hardware was arguably driven by the demand for computation, as software systems and digital technology became integrated with more and more of our lives. Despite this progress in device technology, general-purpose microprocessors-the heart of a modern computer-can still be viewed as a “von Neumann” computer with control, storage, arithmetic, and input/output devices. As the demand for computation grows unabated while the scaling of transistor technology slows down, alternate approaches to further reducing the energy per unit of computation are required.
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