公开(公告)号：US20200234115A1

公开(公告)日：2020-07-23

申请号：US16442440

申请日：2019-06-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Behnam POURGHASSEMI ,  Joo Hwan LEE ,  Yang Seok KI

IPC: G06N3/08 ,  G06F9/50 ,  G06N3/04

Abstract: Computing resources may be optimally allocated for a multipath neural network using a multipath neural network analyzer that includes an interface and a processing device. The interface receives a multipath neural network. The processing device generates the multipath neural network to include one or more layers of a critical path through the multipath neural network that are allocated a first allocation of computing resources that are available to execute the multipath neural network. The critical path limits throughput of the multipath neural network. The first allocation of computing resources reduces an execution time of the multipath neural network to be less than a baseline execution time of a second allocation of computing resources for the multipath neural network. The first allocation of computing resources for a first layer of the critical path is different than the second allocation of computing resources for the first layer of the critical path.