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Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
24 May 2021
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
Zhihao Jia
Jinliang Wei
Keval Vora
Ravi Netravali
Miryung Kim
G. Xu
GNN
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Papers citing
"Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads"
39 / 39 papers shown
Title
Sparsity-Aware Communication for Distributed Graph Neural Network Training
Ujjaini Mukhodopadhyay
Alok Tripathy
Oguz Selvitopi
Katherine Yelick
A. Buluç
150
1
0
07 Apr 2025
Dynamic Tensor Rematerialization
Marisa Kirisame
Steven Lyubomirsky
Altan Haan
Jennifer Brennan
Mike He
Jared Roesch
Tianqi Chen
Zachary Tatlock
80
93
0
17 Jun 2020
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
133
980
0
06 Nov 2019
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
75
381
0
28 Oct 2019
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Paras Jain
Ajay Jain
Aniruddha Nrusimha
A. Gholami
Pieter Abbeel
Kurt Keutzer
Ion Stoica
Joseph E. Gonzalez
64
195
0
07 Oct 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CE
GNN
286
759
0
03 Sep 2019
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
102
389
0
23 Feb 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
783
8,566
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,532
0
20 Dec 2018
Serverless Computing: One Step Forward, Two Steps Back
J. M. Hellerstein
Jose M. Faleiro
Joseph E. Gonzalez
Johann Schleier-Smith
Vikram Sreekanti
Alexey Tumanov
Chenggang Wu
55
392
0
10 Dec 2018
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
74
1,561
0
01 Nov 2018
Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia
Matei A. Zaharia
A. Aiken
GNN
AI4CE
64
505
0
14 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
266
3,550
0
06 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
53
117
0
04 Jun 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
110
573
0
20 Mar 2018
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
124
485
0
20 Nov 2017
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNN
NAI
123
804
0
01 Nov 2017
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,225
0
30 Oct 2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
Hoifung Poon
Chris Quirk
Kristina Toutanova
Wen-tau Yih
65
512
0
12 Aug 2017
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
85
441
0
13 Jun 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Huatian Zhang
Zeyu Zheng
Shizhen Xu
Wei-Ming Dai
Qirong Ho
Xiaodan Liang
Zhiting Hu
Jinliang Wei
P. Xie
Eric Xing
GNN
67
347
0
11 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,685
0
08 Jun 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Occupy the Cloud: Distributed Computing for the 99%
Eric Jonas
Qifan Pu
Shivaram Venkataraman
Ion Stoica
Benjamin Recht
59
504
0
13 Feb 2017
DeepCoder: Learning to Write Programs
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
AIMat
NAI
103
575
0
07 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
652
29,154
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
356
7,671
0
30 Jun 2016
Revisiting Distributed Synchronous SGD
Jianmin Chen
Xinghao Pan
R. Monga
Samy Bengio
Rafal Jozefowicz
87
801
0
04 Apr 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
154
2,066
0
04 Feb 2016
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,357
0
30 Sep 2015
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
124
2,412
0
15 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
135
1,849
0
03 Oct 2014
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low
Joseph E. Gonzalez
Aapo Kyrola
Danny Bickson
Carlos Guestrin
J. M. Hellerstein
62
908
0
09 Aug 2014
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
Da Zheng
Disa Mhembere
Randal C. Burns
Joshua T. Vogelstein
Carey E. Priebe
A. Szalay
73
239
0
03 Aug 2014
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky
GNN
93
1,303
0
23 Apr 2014
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
201
2,274
0
28 Jun 2011
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