ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.05898
  4. Cited By
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core
  Processors

High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors

14 March 2019
Siqi Wang
Gayathri Ananthanarayanan
Yifan Zeng
Neeraj Goel
A. Pathania
T. Mitra
ArXivPDFHTML

Papers citing "High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors"

25 / 25 papers shown
Title
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Yunquan Gao
Zhiguo Zhang
Praveen Kumar Donta
C. Dehury
Xiang Wang
Dusit Niyato
Qiyang Zhang
46
0
0
27 Mar 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
65
1
0
08 Mar 2025
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers
Varatheepan Paramanayakam
Andreas Karatzas
Dimitrios Stamoulis
Iraklis Anagnostopoulos
70
0
0
06 Mar 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Xubin Wang
Weijia Jia
41
0
0
08 Jan 2025
RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded
  Devices
RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices
Andreas Karatzas
Dimitrios Stamoulis
Iraklis Anagnostopoulos
66
1
0
26 Nov 2024
HiDP: Hierarchical DNN Partitioning for Distributed Inference on
  Heterogeneous Edge Platforms
HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms
Zain Taufique
Aman Vyas
Antonio Miele
P. Liljeberg
A. Kanduri
71
0
0
25 Nov 2024
A Framework to Enable Algorithmic Design Choice Exploration in DNNs
A Framework to Enable Algorithmic Design Choice Exploration in DNNs
Timothy L. Cronin IV
Sanmukh Kuppannagari
56
0
0
10 Oct 2024
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous
  Devices for Single- and Multi-DNN Workloads
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
Ioannis Panopoulos
Stylianos I. Venieris
I. Venieris
38
2
0
02 Sep 2024
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ
  Transformer Inference
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
Shengyuan Ye
Jiangsu Du
Liekang Zeng
Wenzhong Ou
Xiaowen Chu
Yutong Lu
Xu Chen
44
17
0
27 May 2024
DLAS: An Exploration and Assessment of the Deep Learning Acceleration
  Stack
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack
Perry Gibson
José Cano
Elliot J. Crowley
Amos Storkey
Michael F. P. O'Boyle
29
1
0
15 Nov 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
46
22
0
27 Sep 2023
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under
  Multi-DNN Workload
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload
Andreas Karatzas
Iraklis Anagnostopoulos
21
20
0
06 Jul 2023
ODIN: Overcoming Dynamic Interference in iNference pipelines
ODIN: Overcoming Dynamic Interference in iNference pipelines
Pirah Noor Soomro
Nikela Papadopoulou
Miquel Pericàs
8
0
0
02 Jun 2023
GreenScale: Carbon-Aware Systems for Edge Computing
GreenScale: Carbon-Aware Systems for Edge Computing
Young Geun Kim
Udit Gupta
Andrew McCrabb
Yong-Bum Son
V. Bertacco
David Brooks
Carole-Jean Wu
26
14
0
01 Apr 2023
The Effects of Partitioning Strategies on Energy Consumption in
  Distributed CNN Inference at The Edge
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
Erqian Tang
Xiaotian Guo
T. Stefanov
16
1
0
15 Oct 2022
Inference Latency Prediction at the Edge
Inference Latency Prediction at the Edge
Zhuojin Li
Marco Paolieri
L. Golubchik
29
3
0
06 Oct 2022
Shisha: Online scheduling of CNN pipelines on heterogeneous
  architectures
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures
Pirah Noor Soomro
M. Abduljabbar
J. Castrillón
Miquel Pericàs
24
1
0
23 Feb 2022
Optimising the Performance of Convolutional Neural Networks across
  Computing Systems using Transfer Learning
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
Rik Mulder
Valentin Radu
Christophe Dubach
6
2
0
20 Oct 2020
HAPI: Hardware-Aware Progressive Inference
HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis
Stylianos I. Venieris
Hyeji Kim
Nicholas D. Lane
30
45
0
10 Aug 2020
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference
  under Stochastic Variance
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance
Young Geun Kim
Carole-Jean Wu
19
3
0
06 May 2020
Enabling Highly Efficient Capsule Networks Processing Through A
  PIM-Based Architecture Design
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design
Xingyao Zhang
Shuaiwen Leon Song
Chenhao Xie
Jing Wang
Wei-gong Zhang
Xin Fu
34
20
0
07 Nov 2019
Neural Network Inference on Mobile SoCs
Neural Network Inference on Mobile SoCs
Siqi Wang
A. Pathania
T. Mitra
18
84
0
24 Aug 2019
Collaborative Heterogeneous Computing on MPSoCs
Collaborative Heterogeneous Computing on MPSoCs
Siqi Wang
6
0
0
25 Jul 2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep
  Learning
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Zhiqian Chen
Gaurav Kolhe
S. Rafatirad
Sai Manoj P D
Houman Homayoun
Liang Zhao
Chang-Tien Lu
AAML
20
14
0
14 Feb 2019
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
517
0
09 Apr 2018
1