公开(公告)号：US20230053575A1

公开(公告)日：2023-02-23

申请号：US17578872

申请日：2022-01-19

Applicant: Cisco Technology, Inc.

Inventor： Leo Marche ,  Thomas Michel-Ange Feltin ,  Andre Surcouf ,  Frank Brockners

IPC: G06F9/50 ,  G06N3/08

Abstract: This disclosure describes techniques and mechanisms for enabling a user to run heavy deep learning workloads on standard edge networks without off-loading computation to a cloud, leveraging the available edge computing resources, and efficiently partitioning and distributing a Deep Neural Network (DNN) over a network. The techniques enable the user to split a workload into multiple parts and process the workload on a set of smaller, less capable compute nodes in a distributed manner, without compromising on performance, and while meeting a Service Level Objective (SLO).