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Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory
  Accelerators

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators

19 March 2024
Timur Ibrayev
Isha Garg
I. Chakraborty
Kaushik Roy
ArXivPDFHTML

Papers citing "Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators"

12 / 12 papers shown
Title
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
260
1,049
0
06 Mar 2020
PANTHER: A Programmable Architecture for Neural Network Training
  Harnessing Energy-efficient ReRAM
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
Aayush Ankit
I. E. Hajj
S. R. Chalamalasetti
S. Agarwal
M. Marinella
M. Foltin
J. Strachan
D. Milojicic
Wen-mei W. Hwu
Kaushik Roy
39
67
0
24 Dec 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Huanrui Yang
W. Wen
H. Li
44
97
0
27 Aug 2019
Crossbar-aware neural network pruning
Crossbar-aware neural network pruning
Ling Liang
Lei Deng
Y. Zeng
Xing Hu
Yu Ji
Xin Ma
Guoqi Li
Yuan Xie
43
41
0
25 Jul 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
57
438
0
10 Apr 2018
STDP Based Pruning of Connections and Weight Quantization in Spiking
  Neural Networks for Energy Efficient Recognition
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
47
113
0
12 Oct 2017
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
190
3,695
0
31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
176
2,337
0
12 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
253
8,833
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,672
0
08 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,525
0
01 Sep 2014
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