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Accelerating Neural Network Inference with Processing-in-DRAM: From the
  Edge to the Cloud

Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud

19 September 2022
Geraldo F. Oliveira
Juan Gómez Luna
Saugata Ghose
Amirali Boroumand
O. Mutlu
ArXivPDFHTML

Papers citing "Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud"

7 / 7 papers shown
Title
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan
Garrett Gagnon
Zhenyu Liu
Liu Liu
29
0
0
09 May 2025
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
Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental
  Characterization and Analysis
Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis
˙Ismail Emir
Yüksel Yahya Can
Tu˘grul Ataberk
Olgun F. Nisa
Bostancı A. Giray Ya˘glıkçı
Geraldo F. Oliveira
Haocong Luo
Juan Gómez Luna
Mohammad Sadrosadati
Onur Mutlu
58
15
0
28 Feb 2024
SynCron: Efficient Synchronization Support for Near-Data-Processing
  Architectures
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Christina Giannoula
Nandita Vijaykumar
Nikela Papadopoulou
Vasileios Karakostas
Ivan Fernandez
Juan Gómez Luna
Lois Orosa
N. Koziris
G. Goumas
O. Mutlu
90
82
0
19 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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
296
39,198
0
01 Sep 2014
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