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DistrEdge: Speeding up Convolutional Neural Network Inference on
  Distributed Edge Devices

DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices

3 February 2022
Xueyu Hou
Yongjie Guan
Tao Han
Ning Zhang
ArXivPDFHTML

Papers citing "DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices"

11 / 11 papers shown
Title
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey
Ana M. Bernardos
Andrzej D. Dobrzycki
David Carramiñana
Luca Bergesio
Juan A. Besada
José Ramón Casar
49
3
0
06 Feb 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using
  Reinforcement Learning and Graph Learning
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Jianpeng Qi
Junyu Dong
Yanwei Yu
3DPC
AI4CE
44
0
0
24 Dec 2024
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge
  Devices
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices
Xiang Liu
Yijun Song
Xia Li
Yifei Sun
Huiying Lan
Zemin Liu
Linshan Jiang
Jialin Li
19
1
0
15 Oct 2024
Learning the Optimal Path and DNN Partition for Collaborative Edge
  Inference
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
Yin Huang
Letian Zhang
Jie Xu
20
1
0
02 Oct 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic
  Review
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
Federico Nicolás Peccia
Oliver Bringmann
36
0
0
06 May 2024
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Taesik Gong
S. Jang
Utku Günay Acer
F. Kawsar
Chulhong Min
33
2
0
11 Dec 2023
Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto
  Heterogeneous MPSoCs
Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs
Halima Bouzidi
Mohanad Odema
Hamza Ouarnoughi
Smail Niar
Mohammad Abdullah Al Faruque
29
8
0
24 Feb 2023
DISCO: Distributed Inference with Sparse Communications
DISCO: Distributed Inference with Sparse Communications
Minghai Qin
Chaowen Sun
Jaco A. Hofmann
D. Vučinić
FedML
27
1
0
22 Feb 2023
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile
  Devices
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang
Zikang Xu
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
16
11
0
17 Jun 2022
DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for
  Headsets
DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets
Yongjie Guan
Xueyu Hou
Na Wu
Bo Han
Tao Han
3DH
26
24
0
15 Jan 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
1