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. 2002.05022
  4. Cited By
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware
  Accelerator

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator

11 February 2020
Mohamed S. Abdelfattah
L. Dudziak
Thomas C. P. Chau
Royson Lee
Hyeji Kim
Nicholas D. Lane
ArXivPDFHTML

Papers citing "Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator"

35 / 35 papers shown
Title
Automated and Holistic Co-design of Neural Networks and ASICs for
  Enabling In-Pixel Intelligence
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence
Shubha R. Kharel
Prashansa Mukim
Piotr Maj
Grzegorz W. Deptuch
Shinjae Yoo
Yihui Ren
Soumyajit Mandal
44
0
0
18 Jul 2024
MELTing point: Mobile Evaluation of Language Transformers
MELTing point: Mobile Evaluation of Language Transformers
Stefanos Laskaridis
Kleomenis Katevas
Lorenzo Minto
Hamed Haddadi
29
21
0
19 Mar 2024
Using the Abstract Computer Architecture Description Language to Model
  AI Hardware Accelerators
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
Mika Markus Müller
Alexander Richard Manfred Borst
Konstantin Lubeck
Alexander Louis-Ferdinand Jung
Oliver Bringmann
19
1
0
30 Jan 2024
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
34
20
0
27 Aug 2023
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights
  Generation
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation
Stylianos I. Venieris
Javier Fernandez-Marques
Nicholas D. Lane
MQ
27
3
0
25 Jul 2023
A Survey on Multi-Objective Neural Architecture Search
A Survey on Multi-Objective Neural Architecture Search
Seyed Mahdi Shariatzadeh
M. Fathy
R. Berangi
M. Shahverdy
33
1
0
18 Jul 2023
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep
  Learning Acceleration
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration
Zhiqiang Que
Shuo Liu
Markus Rognlien
Ce Guo
Jose G. F. Coutinho
Wayne Luk
18
4
0
14 Jun 2023
TransCODE: Co-design of Transformers and Accelerators for Efficient
  Training and Inference
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
Shikhar Tuli
N. Jha
38
5
0
27 Mar 2023
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data
Konstantinos Iordanou
Timothy Atkinson
Emre Ozer
Jedrzej Kufel
J. Biggs
Gavin Brown
M. Luján
21
1
0
28 Feb 2023
Enabling Hard Constraints in Differentiable Neural Network and
  Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Deokki Hong
Kanghyun Choi
Hyeyoon Lee
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
19
3
0
23 Jan 2023
Colab NAS: Obtaining lightweight task-specific convolutional neural
  networks following Occam's razor
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
Andrea Mattia Garavagno
D. Leonardis
A. Frisoli
25
1
0
15 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design
  Framework
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
Shikhar Tuli
Chia-Hao Li
Ritvik Sharma
N. Jha
36
13
0
07 Dec 2022
The Future of Consumer Edge-AI Computing
The Future of Consumer Edge-AI Computing
Stefanos Laskaridis
Stylianos I. Venieris
Alexandros Kouris
Rui Li
Nicholas D. Lane
45
8
0
19 Oct 2022
Hardware Accelerator and Neural Network Co-Optimization for
  Ultra-Low-Power Audio Processing Devices
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
Christoph Gerum
Adrian Frischknecht
T. Hald
Paul Palomero Bernardo
Konstantin Lubeck
Oliver Bringmann
45
10
0
08 Sep 2022
SONAR: Joint Architecture and System Optimization Search
SONAR: Joint Architecture and System Optimization Search
Elias Jääsaari
Michelle Ma
Ameet Talwalkar
Tianqi Chen
36
1
0
25 Aug 2022
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator
Hongxiang Fan
Martin Ferianc
Zhiqiang Que
He Li
Shuanglong Liu
Xinyu Niu
Wayne Luk
3DV
25
9
0
24 Nov 2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and
  Real-time ECG Reconstruction from Intracardiac Electrograms
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang
Anton Banta
Yonggan Fu
M. John
A. Post
M. Razavi
Joseph R. Cavallaro
B. Aazhang
Yingyan Lin
23
4
0
04 Nov 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and
  Efficiency
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Yongan Zhang
Haoran You
Yonggan Fu
Tong Geng
Ang Li
Yingyan Lin
GNN
21
28
0
18 Sep 2021
LENS: Layer Distribution Enabled Neural Architecture Search in
  Edge-Cloud Hierarchies
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Mohanad Odema
Nafiul Rashid
B. U. Demirel
Mohammad Abdullah Al Faruque
25
10
0
20 Jul 2021
NAX: Co-Designing Neural Network and Hardware Architecture for
  Memristive Xbar based Computing Systems
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
Shubham Negi
I. Chakraborty
Aayush Ankit
Kaushik Roy
22
6
0
23 Jun 2021
How to Reach Real-Time AI on Consumer Devices? Solutions for
  Programmable and Custom Architectures
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures
Stylianos I. Venieris
Ioannis Panopoulos
Ilias Leontiadis
I. Venieris
28
6
0
21 Jun 2021
RHNAS: Realizable Hardware and Neural Architecture Search
RHNAS: Realizable Hardware and Neural Architecture Search
Yash Akhauri
Adithya Niranjan
J. P. Muñoz
Suvadeep Banerjee
A. Davare
P. Cocchini
A. Sorokin
R. Iyer
Nilesh Jain
21
3
0
17 Jun 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
Yonggan Fu
Yongan Zhang
Chaojian Li
Zhongzhi Yu
Yingyan Lin
37
6
0
11 Jun 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
55
17
0
11 Jun 2021
Deep Neural Network-based Enhancement for Image and Video Streaming
  Systems: A Survey and Future Directions
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
Royson Lee
Stylianos I. Venieris
Nicholas D. Lane
AI4TS
57
44
0
07 Jun 2021
A Full-Stack Search Technique for Domain Optimized Deep Learning
  Accelerators
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators
Dan Zhang
Safeen Huda
Ebrahim M. Songhori
Kartik Prabhu
Quoc V. Le
Anna Goldie
Azalia Mirhoseini
26
50
0
26 May 2021
HAO: Hardware-aware neural Architecture Optimization for Efficient
  Inference
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Zhen Dong
Yizhao Gao
Qijing Huang
J. Wawrzynek
Hayden Kwok-Hay So
Kurt Keutzer
19
34
0
26 Apr 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights
  Generation
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
Stylianos I. Venieris
Javier Fernandez-Marques
Nicholas D. Lane
24
11
0
09 Mar 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
Kaoutar El Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
34
96
0
22 Jan 2021
DNA: Differentiable Network-Accelerator Co-Search
DNA: Differentiable Network-Accelerator Co-Search
Yongan Zhang
Y. Fu
Weiwen Jiang
Chaojian Li
Haoran You
Meng Li
Vikas Chandra
Yingyan Lin
25
17
0
28 Oct 2020
DANCE: Differentiable Accelerator/Network Co-Exploration
DANCE: Differentiable Accelerator/Network Co-Exploration
Kanghyun Choi
Deokki Hong
Hojae Yoon
Joonsang Yu
Youngsok Kim
Jinho Lee
19
44
0
14 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators
  using Reinforcement Learning
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
22
91
0
04 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
43
108
0
04 Aug 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
59
82
0
02 Jul 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
1