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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

11 June 2021
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
    MQ
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Papers citing "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators"

10 / 10 papers shown
Title
Differentiable Combinatorial Scheduling at Scale
Differentiable Combinatorial Scheduling at Scale
Mingju Liu
Yingjie Li
Jiaqi Yin
Zhiru Zhang
Cunxi Yu
24
0
0
06 Jun 2024
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
32
59
0
19 Sep 2023
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization
  Search
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
Jordan Dotzel
Gang Wu
Andrew Li
M. Umar
Yun Ni
...
Liqun Cheng
Martin G. Dixon
N. Jouppi
Quoc V. Le
Sheng R. Li
MQ
19
3
0
07 Aug 2023
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Y. Fu
Yuecheng Li
Chenghui Li
Jason M. Saragih
Peizhao Zhang
Xiaoliang Dai
Yingyan Lin
3DH
26
2
0
24 Apr 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
10
3
0
23 Jan 2023
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
20
11
0
07 Dec 2022
Physics-aware Differentiable Discrete Codesign for Diffractive Optical
  Neural Networks
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks
Yingjie Li
Ruiyang Chen
Weilu Gao
Cunxi Yu
14
11
0
28 Sep 2022
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
13
28
0
18 Sep 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
33
13
0
11 Sep 2021
ShiftAddNet: A Hardware-Inspired Deep Network
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You
Xiaohan Chen
Yongan Zhang
Chaojian Li
Sicheng Li
Zihao Liu
Zhangyang Wang
Yingyan Lin
OOD
MQ
50
75
0
24 Oct 2020
1