SYNCHRONIZED EXECUTION OF NEURAL NETWORK LAYERS IN MULTI-CORE ENVIRONMENTS

Abstract: disclosed herein are systems and methods for executing a neural network (nn) across multiple processing cores. in an example embodiment, a system includes processing circuitry comprising a first processing core and a second processing core, such that the second processing core is coupled to the first processing core. prior to executing a current layer of the nn, the second processing core determines a synchronization status of the first processing core with respect to a previous layer of the nn. next, the second processing core executes the current layer of the nn based on data computed by the first and second processing cores with respect to the previous layer of the nn. upon executing the current layer of the nn, the second processing core updates the first processing core with a synchronization status of the second processing core with respect to the current layer of the nn.

Inventor(s): Anand Pathak, Anshu Jain, Lakshay Gupta, Pramod Swami

CPC Classification: G06N3/04 (Architecture, e.g. interconnection topology)

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