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A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets

A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets

19 February 2018
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
ArXivPDFHTML

Papers citing "A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets"

3 / 3 papers shown
Title
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
50
10
0
07 May 2024
An Experimental Evaluation of Machine Learning Training on a Real
  Processing-in-Memory System
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez Luna
Yu-Yin Guo
Sylvan Brocard
Julien Legriel
Remy Cimadomo
Geraldo F. Oliveira
Gagandeep Singh
O. Mutlu
VLM
33
14
0
16 Jul 2022
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
21
518
0
07 Dec 2018
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