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AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs
  and ASICs

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

6 January 2020
Pengfei Xu
Xiaofan Zhang
Cong Hao
Yang Katie Zhao
Yongan Zhang
Yue Wang
Chaojian Li
Zetong Guan
Deming Chen
Yingyan Lin
ArXivPDFHTML

Papers citing "AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs"

35 / 35 papers shown
Title
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data
  Centers
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
Jieming Bian
Lei Wang
Shaolei Ren
Jie Xu
FedML
16
8
0
06 Nov 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
Yonggan Fu
Yongan Zhang
Zhongzhi Yu
Sixu Li
Zhifan Ye
Chaojian Li
Cheng Wan
Ying Lin
35
60
0
19 Sep 2023
An Open-Source ML-Based Full-Stack Optimization Framework for Machine
  Learning Accelerators
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
H. Esmaeilzadeh
Soroush Ghodrati
A. Kahng
J. Kim
Sean Kinzer
...
R. Mahapatra
Susmita Dey Manasi
S. Sapatnekar
Zhiang Wang
Ziqing Zeng
11
4
0
23 Aug 2023
Performance Analysis of DNN Inference/Training with Convolution and
  non-Convolution Operations
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations
H. Esmaeilzadeh
Soroush Ghodrati
A. Kahng
Sean Kinzer
Susmita Dey Manasi
S. Sapatnekar
Zhiang Wang
22
2
0
29 Jun 2023
Towards Environmentally Equitable AI via Geographical Load Balancing
Towards Environmentally Equitable AI via Geographical Load Balancing
Pengfei Li
Jianyi Yang
Adam Wierman
Shaolei Ren
30
8
0
20 Jun 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
J. G. Coutinho
Wayne Luk
10
4
0
14 Jun 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li
Jianyi Yang
M. A. Islam
Shaolei Ren
81
120
0
06 Apr 2023
NASA: Neural Architecture Search and Acceleration for Hardware Inspired
  Hybrid Networks
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
Huihong Shi
Haoran You
Yang Katie Zhao
Zhongfeng Wang
Yingyan Lin
56
7
0
24 Oct 2022
GANDSE: Generative Adversarial Network based Design Space Exploration
  for Neural Network Accelerator Design
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design
Lang Feng
Wenjian Liu
Chuliang Guo
Ke Tang
Cheng Zhuo
Zhongfeng Wang
20
5
0
01 Aug 2022
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space
  Exploration Tool for FPGA High-Level Synthesis
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis
Mang Yu
Sitao Huang
Deming Chen
11
9
0
03 Jul 2022
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
Yannan Nellie Wu
Po-An Tsai
A. Parashar
Vivienne Sze
J. Emer
23
57
0
12 May 2022
Pre-RTL DNN Hardware Evaluator With Fused Layer Support
Pre-RTL DNN Hardware Evaluator With Fused Layer Support
Chih-Chyau Yang
Tian-Sheuan Chang
11
1
0
02 May 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Muhammad Shafique
23
13
0
18 Apr 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
21
2
0
25 Mar 2022
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture
  Search
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Qian Jiang
Xiaofan Zhang
Deming Chen
Minh Do
Raymond A. Yeh
25
7
0
24 Nov 2021
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded
  Neuromorphic Computing
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
M. L. Varshika
Adarsha Balaji
Federico Corradi
Anup Das
J. Stuijt
F. Catthoor
22
24
0
23 Nov 2021
Enabling Automated FPGA Accelerator Optimization Using Graph Neural
  Networks
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
Atefeh Sohrabizadeh
Yunsheng Bai
Yizhou Sun
Jason Cong
GNN
12
7
0
17 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
12
4
0
04 Nov 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
25
36
0
20 Oct 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Katie Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
44
12
0
11 Sep 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
21
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
50
17
0
11 Jun 2021
TRIM: A Design Space Exploration Model for Deep Neural Networks
  Inference and Training Accelerators
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
Yangjie Qi
Shuo Zhang
T. Taha
10
6
0
18 May 2021
HASCO: Towards Agile HArdware and Software CO-design for Tensor
  Computation
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation
Qingcheng Xiao
Size Zheng
Bingzhe Wu
Pengcheng Xu
Xuehai Qian
Yun Liang
32
65
0
04 May 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
50
34
0
25 Mar 2021
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar
  Decoding
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding
Xiaofan Zhang
Dawei Wang
P. Chuang
Shugao Ma
Deming Chen
Yuecheng Li
VGen
6
8
0
08 Mar 2021
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
9
49
0
05 Nov 2020
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
11
17
0
28 Oct 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition
  Systems
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Haoliang Li
Yufei Wang
Xiaofei Xie
Yang Liu
Shiqi Wang
Renjie Wan
Lap-Pui Chau
City University of Hong Kong
AAML
11
32
0
15 Sep 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
46
81
0
02 Jul 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost
  Computation
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
Yang Katie Zhao
Xiaohan Chen
Yue Wang
Chaojian Li
Haoran You
Y. Fu
Yuan Xie
Zhangyang Wang
Yingyan Lin
MQ
21
43
0
07 May 2020
EDD: Efficient Differentiable DNN Architecture and Implementation
  Co-search for Embedded AI Solutions
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li
Cong Hao
Xiaofan Zhang
Xinheng Liu
Yao Chen
Jinjun Xiong
Wen-mei W. Hwu
Deming Chen
24
77
0
06 May 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators
  Towards Local and in Time Domain
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
Weitao Li
Pengfei Xu
Yang Katie Zhao
Haitong Li
Yuan Xie
Yingyan Lin
9
68
0
03 May 2020
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator
  Design and Implementation
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
Hanchen Ye
Xiaofan Zhang
Zhize Huang
Gengsheng Chen
Deming Chen
24
60
0
08 Apr 2020
SiamVGG: Visual Tracking using Deeper Siamese Networks
SiamVGG: Visual Tracking using Deeper Siamese Networks
Yuhong Li
Xiaofan Zhang
Deming Chen
ViT
36
47
0
07 Feb 2019
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