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AREA-EFFICIENT, RECONFIGURABLE, ENERGY-EFFICIENT, SPEED-EFFICIENT NEURAL NETWORK SUBSTRATE

机译:高效,可重构,高效节能,高效的神经网络基质

摘要

Architectures for multicore neuromorphic systems are provided. In various embodiments, a neural network description is read. The neural network description describes a plurality of logical cores. A plurality of precedence relationships are determined among the plurality of logical cores. Based on the plurality of precedence relationships, a schedule is generated that assigns the plurality of logical cores to a plurality of physical cores at a plurality of time slices. Based on the schedule, the plurality of logical cores of the neural network description are executed on the plurality of physical cores.
机译:提供了用于多核神经形态系统的架构。在各个实施例中,读取神经网络描述。神经网络描述描述了多个逻辑核心。在多个逻辑核心之间确定多个优先关系。基于多个优先级关系,生成调度,该调度在多个时间片上将多个逻辑核分配给多个物理核。基于调度,在多个物理核上执行神经网络描述的多个逻辑核。

著录项

  • 公开/公告号EP3566185A1

    专利类型

  • 公开/公告日2019-11-13

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号EP20170825508

  • 发明设计人 MODHA DHARMENDRA;

    申请日2017-12-20

  • 分类号G06N3/063;G06F8/41;

  • 国家 EP

  • 入库时间 2022-08-21 11:38:49

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