DNN Partitioning for Inference Throughput Acceleration at the Edge

Author:

Feltin Thomas1ORCID,Marchó Léo2ORCID,Cordero-Fuertes Juan-Antonio1ORCID,Brockners Frank2,Clausen Thomas H.1ORCID

Affiliation:

1. École Polytechnique, Palaiseau, France

2. Cisco Systems, San Jose, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency;ACM Transactions on Embedded Computing Systems;2024-01-10

2. Objective-Driven Differentiable Optimization of Traffic Prediction and Resource Allocation for Split AI Inference Edge Networks;IEEE Transactions on Machine Learning in Communications and Networking;2024

3. On the Dynamics of Single-Orbit Requester-Provider Systems;Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems;2023-10-30

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