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ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration
  of Learning

ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning

30 December 2018
Hajar Falahati
Pejman Lotfi-Kamran
Mohammad Sadrosadati
H. Sarbazi-Azad
ArXivPDFHTML

Papers citing "ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning"

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
55
11
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
15
0
16 Jul 2022
Enabling Highly Efficient Capsule Networks Processing Through A
  PIM-Based Architecture Design
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design
Xingyao Zhang
Shuaiwen Leon Song
Chenhao Xie
Jing Wang
Wei-gong Zhang
Xin Fu
34
20
0
07 Nov 2019
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