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1704.04760
Cited By
In-Datacenter Performance Analysis of a Tensor Processing Unit
16 April 2017
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
Raminder Bajwa
Sarah Bates
Suresh Bhatia
Nan Boden
Al Borchers
Rick Boyle
Pierre-luc Cantin
Clifford Chao
Chris Clark
Jeremy Coriell
Mike Daley
Matt Dau
Jeffrey Dean
Ben Gelb
Taraneh Ghaemmaghami
Rajendra Gottipati
William Gulland
Robert Hagmann
C. Richard Ho
Doug Hogberg
John Hu
R. Hundt
Dan Hurt
Julian Ibarz
A. Jaffey
Alek Jaworski
Alexander Kaplan
Harshit Khaitan
Andy Koch
Naveen Kumar
Steve Lacy
James Laudon
James Law
Diemthu Le
Chris Leary
Zhuyuan Liu
Kyle Lucke
Alan Lundin
Gordon MacKean
Adriana Maggiore
Maire Mahony
Kieran Miller
R. Nagarajan
Ravi Narayanaswami
Ray Ni
Kathy Nix
Thomas Norrie
Mark Omernick
Narayana Penukonda
Andy Phelps
Jonathan Ross
Matt Ross
Amir Salek
Emad Samadiani
Chris Severn
Gregory Sizikov
Matthew Snelham
Jed Souter
Dan Steinberg
Andy Swing
Mercedes Tan
Gregory Thorson
Bo Tian
Horia Toma
Erick Tuttle
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
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Papers citing
"In-Datacenter Performance Analysis of a Tensor Processing Unit"
17 / 1,167 papers shown
Title
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
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13 Oct 2017
A Comparative Taxonomy and Survey of Public Cloud Infrastructure Vendors
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I. Papapanagiotou
B. Rimal
M. Devetsikiotis
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04 Oct 2017
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Zhourui Song
Zhenyu Liu
Dongsheng Wang
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22 Sep 2017
An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)
Yuan Du
Li Du
X. Gu
Jieqiong Du
X. Shawn Wang
...
Mingzhe Jiang
Xiao Wang
Junjie Su
Subramanian S. Iyer
Mau-Chung Frank Chang
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8
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19 Sep 2017
A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications
Yuan Du
Li Du
Yilei Li
Junjie Su
Mau-Chung Frank Chang
34
6
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15 Sep 2017
WRPN: Wide Reduced-Precision Networks
Asit K. Mishra
Eriko Nurvitadhi
Jeffrey J. Cook
Debbie Marr
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100
267
0
04 Sep 2017
nuts-flow/ml: data pre-processing for deep learning
S. Maetschke
Ruwan Tennakoon
C. Vecchiola
R. Garnavi
AI4CE
3DPC
55
9
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21 Aug 2017
Enabling Massive Deep Neural Networks with the GraphBLAS
J. Kepner
Manoj Kumar
José Moreira
P. Pattnaik
M. Serrano
H. Tufo
GNN
98
33
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09 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin
Natan Liss
Evgenii Zheltonozhskii
A. Bronstein
A. Mendelson
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112
35
0
31 Jul 2017
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator
M. Marinella
S. Agarwal
Alexander H. Hsia
Isaac Richter
R. Jacobs-Gedrim
J. Niroula
S. Plimpton
Engin Ipek
C. James
64
133
0
31 Jul 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar
Hesham Mostafa
Enrico Calabrese
A. Rios-Navarro
Ricardo Tapiador-Morales
...
Moritz B. Milde
Federico Corradi
A. Linares-Barranco
Shih-Chii Liu
T. Delbruck
152
246
0
05 Jun 2017
CATERPILLAR: Coarse Grain Reconfigurable Architecture for Accelerating the Training of Deep Neural Networks
Yuanfang Li
A. Pedram
31
19
0
01 Jun 2017
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander L. Gaunt
Matthew W. Johnson
M. Riechert
Daniel Tarlow
Ryota Tomioka
Dimitrios Vytiniotis
Sam Webster
BDL
75
32
0
27 May 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao
Song Han
Jeff Pool
Wenshuo Li
Xingyu Liu
Yu Wang
W. Dally
133
244
0
24 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
140
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18 May 2017
AI, Native Supercomputing and The Revival of Moore's Law
Chien-Ping Lu
28
11
0
17 May 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
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Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
165
1,545
0
10 Mar 2017
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