{"id":164,"date":"2022-05-23T14:36:06","date_gmt":"2022-05-23T14:36:06","guid":{"rendered":"https:\/\/neuromorphicrobotics.com\/?p=164"},"modified":"2022-05-23T14:37:58","modified_gmt":"2022-05-23T14:37:58","slug":"how-to-build-a-reference-software-architecture-for-brain-inspired-computers","status":"publish","type":"post","link":"https:\/\/braininspiredrobotics.com\/?p=164","title":{"rendered":"How to build a reference software architecture for brain-inspired computers?"},"content":{"rendered":"

Shuiguang Deng, Pan Lv, and Ouwen Jin, <\/span>Schahram Dustdar, <\/span>Ying Li, De Ma, Zhaohui Wu, and Gang Pan. <\/span>“Darwin-S: A Reference Software Architecture for Brain-Inspired Computers<\/strong><\/a>” in Computer, vol. 55, no. 05, pp. 51-63, 2022. doi: 10.1109\/MC.2022.3144397<\/p>\n

Abstract:<\/p>\n

“With the reduction of the semiconductor process size, the problems of \u201cmemory wall\u201d and \u201cpower wall\u201d in von Neumann architectures are becoming increasingly prominent. To solve these problems, brain-inspired computing unifies computing and storage.”<\/span><\/strong><\/p>\n

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A general-purpose architecture<\/strong>
\n<\/span>“Darwin-S is designed to be applicable across different underlying hardware architectures, and this generality is fundamentally based on our abstraction of brain-inspired computers. The architecture and implementation methods among different brain-inspired hardware platforms are utterly different. However, the basic design principle is the same:<\/span><\/p>\n