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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

18 May 2021
Yangjie Qi
Shuo Zhang
T. Taha
ArXivPDFHTML

Papers citing "TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators"

2 / 2 papers shown
Title
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
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
1