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Scalable flow virtual study neuro-computer

机译:可扩展流程虚拟学习神经计算机

摘要

The Pyramid Learning Architecture Neurocomputer (PLAN) (Figures 1 and 2) is a scalable stacked pyramid arrangement of processor arrays. There are six processing levels (Figures 1 and 2) in PLAN consisting of the pyramid base, level 6, containing N2 SYnapse Processors (SYPs), level 5 containing multiple folded Communicating Adder Tree structures (SCATs), level 4 made up of N completely connected Neuron Execution Processors (NEPs) (Fig. 16) level 3 made up of multiple Programmable Communicating Alu Tree (PCATs) structures, (Figures 12 and 13) similar to level 5 SCATs but with programmable function capabilities in each tree node, level 2 containing the Neuron Instruction Processor (NIP), and level 1 comprising the host and user interface. The simplest processors are in the base level with each layer of processors increasing in computational power up to a general purpose host computer acting as the user interface. PLAN is scalable in direct neural network emulation and in virtual processing capability.
机译:金字塔学习体系结构神经计算机(PLAN)(图1和2)是处理器阵列的可伸缩堆叠金字塔结构。 PLAN中有六个处理级别(图1和2),包括金字塔基础,级别6,包含N2个SYnapse处理器(SYP),级别5,包含多个折叠的通信加法树结构(SCAT),级别4完全由N组成3级连接的神经元执行处理器(NEP)(图16)由多个可编程通讯Alu树(PCAT)结构(图12和13)组成,类似于5级SCAT,但在每个树节点2级具有可编程功能包含神经元指令处理器(NIP),以及包含主机和用户界面的1级。最简单的处理器处于基础级别,每层处理器的计算能力不断提高,直至充当用户界面的通用主机计算机为止。 PLAN在直接神经网络仿真和虚拟处理能力方面具有可扩展性。

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