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CATERPILLAR: Coarse Grain Reconfigurable Architecture for Accelerating
  the Training of Deep Neural Networks
v1v2 (latest)

CATERPILLAR: Coarse Grain Reconfigurable Architecture for Accelerating the Training of Deep Neural Networks

1 June 2017
Yuanfang Li
A. Pedram
ArXiv (abs)PDFHTML

Papers citing "CATERPILLAR: Coarse Grain Reconfigurable Architecture for Accelerating the Training of Deep Neural Networks"

3 / 3 papers shown
Title
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network
  Training and Inference
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
Mostafa Mahmoud
Isak Edo Vivancos
Ali Hadi Zadeh
Omar Mohamed Awad
Gennady Pekhimenko
Jorge Albericio
Andreas Moshovos
MoE
94
60
0
01 Sep 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture
  of Compact DNNs
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
N. Jha
Sparsh Mittal
Binod Kumar
Govardhan Mattela
AAML
66
13
0
30 Jul 2020
Pipelined Backpropagation at Scale: Training Large Models without
  Batches
Pipelined Backpropagation at Scale: Training Large Models without Batches
Atli Kosson
Vitaliy Chiley
Abhinav Venigalla
Joel Hestness
Urs Koster
112
33
0
25 Mar 2020
1