DNN Partitioning for Inference Throughput Acceleration at the Edge
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10042405.pdf?arnumber=10042405
Reference23 articles.
1. Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism
2. Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge
3. An Automatic Method of Solving Discrete Programming Problems
4. IONN
5. Edge Intelligence
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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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