EmBench: Quantifying Performance Variations of Deep Neural Networks
across Modern Commodity Devices

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

17 May 2019

Stefanos Laskaridis

Ilias Leontiadis

Stylianos I. Venieris

Nicholas D. Lane

Papers citing "EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices"

12 / 12 papers shown

Title
Benchmarking Edge AI Platforms for High-Performance ML Inference Rakshith Jayanth Neelesh Gupta Viktor Prasanna BDL 28 0 0 23 Sep 2024
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution Stylianos I. Venieris Mario Almeida Royson Lee Nicholas D. Lane SupR 10 4 0 15 Dec 2022
The Future of Consumer Edge-AI Computing Stefanos Laskaridis Stylianos I. Venieris Alexandros Kouris Rui Li Nicholas D. Lane 39 8 0 19 Oct 2022
Benchmarking of DL Libraries and Models on Mobile Devices Qiyang Zhang Xiang Li Xiangying Che Xiao Ma Ao Zhou Mengwei Xu Shangguang Wang Yun Ma Xuanzhe Liu 25 48 0 14 Feb 2022
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 109 44 0 28 Sep 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 40 14 0 08 Jun 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 13 36 0 20 Apr 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 63 29 0 02 Feb 2021
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane 22 7 0 12 Oct 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 28 265 0 14 Aug 2020
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 11 45 0 10 Aug 2020