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Distributed Deep Learning System, Distributed Deep Learning Method, and Computing Interconnect Device

机译:分布式深度学习系统,分布式深度学习方法和计算互连设备

摘要

A distributed deep learning system that can achieve speeding-up by processing learning in parallel at a large number of learning nodes connected with a communication network and perform faster cooperative processing among the learning nodes connected through the communication network is provided. The distributed deep learning system includes: a plurality of computing interconnect devices 1 connected with each other through a ring communication network 3 through which communication is possible in one direction; and a plurality of learning nodes 2 connected with the respective computing interconnect devices 1 in a one-to-one relation, and each computing interconnect device 1 executes communication packet transmission-reception processing between the learning nodes 2 and All-reduce processing simultaneously in parallel.
机译:一种分布的深度学习系统,可以通过在与通信网络连接的大量学习节点中并行地进行加速来实现加速,并提供通过通信网络连接的学习节点中的更快的协作处理。分布式深度学习系统包括:通过环通信网络彼此连接的多个计算互连设备 1,通过环通信网络彼此连接,通过该互相连接在一个方向上是通信的通信;和在一对一关系中与相应计算互连设备 1 1的多个学习节点 2 2 2。和每个计算互连设备 1 同时执行学习节点 2 和全部减少处理之间的通信分组传输接收处理。

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