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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

25 March 2022
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
ArXivPDFHTML

Papers citing "A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators"

5 / 5 papers shown
Title
Computing-In-Memory Neural Network Accelerators for Safety-Critical
  Systems: Can Small Device Variations Be Disastrous?
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?
Zheyu Yan
X. S. Hu
Yiyu Shi
32
19
0
15 Jul 2022
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
144
37
0
16 Feb 2021
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network
  Compilation
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
50
70
0
23 Jan 2020
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
86
508
0
09 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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