A Workload and Programming Ease Driven Perspective of Processing-in-Memory

26 July 2019

Papers citing "A Workload and Programming Ease Driven Perspective of Processing-in-Memory"

10 / 10 papers shown

Title
Enabling Practical Processing in and near Memory for Data-Intensive Computing O. Mutlu Saugata Ghose Juan Gómez Luna Rachata Ausavarungnirun 57 20 0 02 May 2019
RowHammer: A Retrospective O. Mutlu Jeremie S. Kim 65 228 0 22 Apr 2019
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks Charles Eckert Xiaowei Wang Jingcheng Wang Arun K. Subramaniyan R. Iyer D. Sylvester D. Blaauw R. Das MQ 44 339 0 09 May 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 72 275 0 10 Jan 2018
The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser O. Mutlu 54 173 0 02 Mar 2017
Fathom: Reference Workloads for Modern Deep Learning Methods Robert Adolf Saketh Rama Brandon Reagen Gu-Yeon Wei David Brooks 48 183 0 23 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 58 828 0 18 Aug 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014