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FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
USENIX Conference on File and Storage Technologies (FAST), 2014
3 August 2014
Da Zheng
Disa Mhembere
Randal C. Burns
Joshua T. Vogelstein
Carey E. Priebe
A. Szalay
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Papers citing
"FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs"
35 / 35 papers shown
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
Proceedings of the VLDB Endowment (PVLDB), 2022
Yeonhong Park
Sunhong Min
Jae W. Lee
GNN
238
55
0
19 Aug 2022
A Learning-based Approach Towards Automated Tuning of SSD Configurations
Daixuan Li
Jian Huang
111
4
0
17 Oct 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
...
Jinliang Wei
Keval Vora
Ravi Netravali
Yang Wang
G. Xu
GNN
377
173
0
24 May 2021
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPoPP), 2021
Jiping Yu
W. Qin
Xiaowei Zhu
Zhenbo Sun
Jianqiang Huang
Xiaohan Li
Wenguang Chen
114
3
0
18 Jan 2021
Reducing Solid-State Drive Read Latency by Optimizing Read-Retry (Extended Abstract)
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
Mohammad Sadrosadati
Myungsuk Kim
Myoungjun Chun
Lois Orosa
Jihong Kim
O. Mutlu
238
64
0
22 Dec 2020
Compilation Techniques for Graph Algorithms on GPUs
Ajay Brahmakshatriya
Yunming Zhang
Changwan Hong
Shoaib Kamil
Julian Shun
Saman P. Amarasinghe
GNN
465
1
0
14 Dec 2020
GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Tianhui Shi
Mingshu Zhai
Yi Xu
Jidong Zhai
187
92
0
23 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
219
65
0
18 Sep 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Yuwei Hu
Zihao Ye
Minjie Wang
Jiali Yu
Da Zheng
Mu Li
Zheng Zhang
Zhiru Zhang
Yida Wang
GNN
437
90
0
26 Aug 2020
ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms
Proceedings of the VLDB Endowment (PVLDB), 2020
Laxman Dhulipala
Changwan Hong
Julian Shun
GNN
361
41
0
10 Aug 2020
Streaming Temporal Graphs: Subgraph Matching
Eric L. Goodman
D. Grunwald
82
0
0
01 Apr 2020
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
Xubo Wang
Lu Qin
Lijun Chang
Ying Zhang
Dong Wen
Xuemin Lin
GNN
146
1
0
02 Mar 2020
Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs
Laxman Dhulipala
Charles McGuffey
H. Kang
Yan Gu
G. Blelloch
Phillip B. Gibbons
Julian Shun
GNN
309
13
0
27 Oct 2019
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Journal of machine learning research (JMLR), 2019
Keith D. Levin
Fred Roosta
M. Tang
Michael W. Mahoney
Carey E. Priebe
286
8
0
29 Sep 2019
Spectral inference for large Stochastic Blockmodels with nodal covariates
Social Science Research Network (SSRN), 2019
A. Mele
Lingxin Hao
Joshua Cape
Carey E. Priebe
388
19
0
18 Aug 2019
Graphyti: A Semi-External Memory Graph Library for FlashGraph
Disa Mhembere
Da Zheng
Carey E. Priebe
Joshua T. Vogelstein
Randal C. Burns
GNN
131
2
0
07 Jul 2019
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs
Kiran Kumar Matam
H. Hashemi
M. Annavaram
209
4
0
10 May 2019
A New Frontier for Pull-Based Graph Processing
Samuel Grossman
Christos Kozyrakis
GNN
149
2
0
18 Mar 2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui
Long Zheng
Bingsheng He
Cheng Liu
Xinyu Chen
Xiaofei Liao
Hai Jin
GNN
308
79
0
26 Feb 2019
clusterNOR: A NUMA-Optimized Clustering Framework
Disa Mhembere
Da Zheng
Carey E. Priebe
Joshua T. Vogelstein
Randal C. Burns
FedML
357
3
0
24 Feb 2019
SIMD-X: Programming and Processing of Graph Algorithms on GPUs
Hang Liu
Howie Huang
GNN
203
58
0
10 Dec 2018
Towards Efficient Large-Scale Graph Neural Network Computing
Lingxiao Ma
Zhi-Xin Yang
Youshan Miao
Jilong Xue
Ming Wu
Lidong Zhou
Yafei Dai
GNN
217
16
0
19 Oct 2018
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine
Yang Liu
Yonggang Wen
T. Duong
Xiaokui Xiao
178
6
0
09 Oct 2018
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
Laxman Dhulipala
G. Blelloch
Julian Shun
GNN
463
175
0
14 May 2018
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers
Hang Liu
Yufei Ding
Da Zheng
S. Son
Da Yan
91
0
0
25 Apr 2018
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
359
281
0
16 Sep 2017
Supervised Dimensionality Reduction for Big Data
Joshua T. Vogelstein
Eric W. Bridgeford
M. Tang
Da Zheng
Christopher Douville
Randal C. Burns
Mauro Maggioni
692
3
0
05 Sep 2017
Discovering and Deciphering Relationships Across Disparate Data Modalities
Joshua T. Vogelstein
Eric W. Bridgeford
Qing Wang
Carey E. Priebe
Mauro Maggioni
Cencheng Shen
601
43
0
16 Sep 2016
Making Caches Work for Graph Analytics
Yunming Zhang
Vladimir Kiriansky
Charith Mendis
Matei A. Zaharia
Saman P. Amarasinghe
GNN
232
17
0
03 Aug 2016
An Adaptive Parallel Algorithm for Computing Connected Components
Chirag Jain
P. Flick
Tony Pan
Oded Green
S. Aluru
319
23
0
21 Jul 2016
FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs
Da Zheng
Disa Mhembere
Joshua T. Vogelstein
Carey E. Priebe
Randal C. Burns
436
6
0
21 Apr 2016
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs
Da Zheng
Disa Mhembere
V. Lyzinski
Joshua T. Vogelstein
Carey E. Priebe
Randal C. Burns
334
31
0
09 Feb 2016
An SSD-based eigensolver for spectral analysis on billion-node graphs
Da Zheng
Randal C. Burns
Joshua T. Vogelstein
Carey E. Priebe
A. Szalay
329
10
0
03 Feb 2016
Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing
ACM Computing Surveys (ACM CSUR), 2015
Ryan McCune
Tim Weninger
G. Madey
178
175
0
15 Jul 2015
Community Detection and Classification in Hierarchical Stochastic Blockmodels
V. Lyzinski
M. Tang
A. Athreya
Youngser Park
Carey E. Priebe
404
160
0
07 Mar 2015
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