-
2
-
-
48249089255
-
Large-scale parallel collaborative filtering for the netflix prize
-
Springer
-
Yunhong Zhou, Dennis Wilkinson, Robert Schreiber, and Rong Pan. Large-scale parallel collaborative filtering for the netflix prize. In Algorithmic Aspects in Information and Management, pages 337-348. Springer, 2008.
-
(2008)
Algorithmic Aspects in Information and Management
, pp. 337-348
-
-
Zhou, Y.1
Wilkinson, D.2
Schreiber, R.3
Pan, R.4
-
4
-
-
79957859069
-
Systemml: Declarative machine learning on mapreduce
-
Amol Ghoting, Rajasekar Krishnamurthy, Edwin Pednault Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, and Shivakumar Vaithyanathan. Systemml: Declarative machine learning on mapreduce. In IEEE International Conference on Data Engineering (ICDE), 2011, pages 231-242.
-
(2011)
IEEE International Conference on Data Engineering (ICDE)
, pp. 231-242
-
-
Ghoting, A.1
Krishnamurthy, R.2
Reinwald, E.P.B.3
Sindhwani, V.4
Tatikonda, S.5
Tian, Y.6
Vaithyanathan, S.7
-
5
-
-
84863735533
-
Distributed graphlab: A framework for machine learning and data mining in the cloud
-
Yucheng Low, Danny Bickson, Joseph Gonzalez, Carlos Guestrin Aapo Kyrola, and Joseph M Hellerstein. Distributed graphlab: a framework for machine learning and data mining in the cloud. Proceedings of the VLDB Endowment (VLDB), 2012.
-
(2012)
Proceedings of the VLDB Endowment (VLDB)
-
-
Low, Y.1
Bickson, D.2
Gonzalez, J.3
Kyrola, C.G.A.4
Hellerstein, J.M.5
-
8
-
-
77954723629
-
Pregel: A system for large-scale graph processing
-
Grzegorz Malewicz, Matthew H Austern, Aart JC Bik, James C Dehnert, Ilan Horn, Naty Leiser, and Grzegorz Czajkowski. Pregel: a system for large-scale graph processing. In Proceedings of the ACM SIGMOD International Conference on Management of data (SIGMOD), 2010, pages 135-146.
-
(2010)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 135-146
-
-
Malewicz, G.1
Austern, M.H.2
Bik, A.J.C.3
Dehnert, J.C.4
Horn, I.5
Leiser, N.6
Czajkowski, G.7
-
9
-
-
85072980230
-
Powergraph: Distributed graph-parallel computation on natural graphs
-
Joseph E Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, and Carlos Guestrin. Powergraph: Distributed graph-parallel computation on natural graphs. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2012 volume 12, page 2.
-
(2012)
Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)
, vol.12
, pp. 2
-
-
Gonzalez, J.E.1
Low, Y.2
Gu, H.3
Bickson, D.4
Guestrin, C.5
-
10
-
-
85042632297
-
Graphchi: Large-scale graph computation on just a pc
-
Aapo Kyrola, Guy E Blelloch, and Carlos Guestrin. Graphchi: Large-scale graph computation on just a pc. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2012, volume 12, pages 31-46.
-
(2012)
Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)
, vol.12
, pp. 31-46
-
-
Kyrola, A.1
Blelloch, G.E.2
Guestrin, C.3
-
13
-
-
84866851845
-
Sahad: Subgraph analysis in massive networks using hadoop
-
Zhao Zhao, Guanying Wang, Ali Raza Butt, Maleq Khan, VS Anil Kumar, and Madhav V Marathe. Sahad: Subgraph analysis in massive networks using hadoop. In IEEE International Parallel &Distributed Processing Symposium (IPDPS), 2012.
-
(2012)
IEEE International Parallel &Distributed Processing Symposium (IPDPS)
-
-
Zhao, Z.1
Wang, G.2
Raza Butt, A.3
Khan, M.4
Kumar, V.S.A.5
Marathe, M.V.6
-
15
-
-
77957838299
-
The hadoop distributed file system
-
Konstantin Shvachko, Hairong Kuang, Sanjay Radia, and Robert Chansler. The hadoop distributed file system. In IEEE Symposium on Mass Storage Systems and Technologies (MSST), 2010, pages 1-10.
-
(2010)
IEEE Symposium on Mass Storage Systems and Technologies (MSST)
, pp. 1-10
-
-
Shvachko, K.1
Kuang, H.2
Radia, S.3
Chansler, R.4
-
16
-
-
85172643250
-
Integrating and governing big data
-
David Corrigan. Integrating and governing big data. IBM Whitepaper 2013.
-
(2013)
IBM Whitepaper
-
-
Corrigan, D.1
-
17
-
-
37549003336
-
Mapreduce: Simplified data processing on large clusters
-
Jeffrey Dean and Sanjay Ghemawat. Mapreduce: simplified data processing on large clusters. Communications of the ACM, 2008 51(1):107-113.
-
(2008)
Communications of the ACM
, vol.51
, Issue.1
, pp. 107-113
-
-
Dean, J.1
Ghemawat, S.2
-
18
-
-
85040175609
-
Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing
-
Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave Justin Ma, Murphy McCauley, Michael J Franklin, Scott Shenker and Ion Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In Proceedings of the USENIX conference on Networked Systems Design and Implementation (NSDI), 2012, pages 2-2.
-
(2012)
Proceedings of the USENIX Conference on Networked Systems Design and Implementation (NSDI)
, pp. 2-2
-
-
Zaharia, M.1
Chowdhury, M.2
Das, T.3
Ma, A.D.J.4
McCauley, M.5
Franklin, M.J.6
Shenker, S.7
Stoica, I.8
-
19
-
-
85048106114
-
-
Nathan Marz. Lambda architecture. http://nathanmarz.com/blog/ how-to-beat-The-cap-theorem.html, 2013.
-
(2013)
Lambda Architecture
-
-
Marz, N.1
-
20
-
-
84880102288
-
Gpufs: Integrating a file system with gpus
-
Mark Silberstein, Bryan Ford, Idit Keidar, and Emmett Witchel. Gpufs: integrating a file system with gpus. In ACM SIGARCH Computer Architecture News, volume 41, pages 485-498, 2013.
-
(2013)
ACM SIGARCH Computer Architecture News
, vol.41
, pp. 485-498
-
-
Silberstein, M.1
Ford, B.2
Keidar, I.3
Witchel, E.4
-
25
-
-
71149105669
-
Large-scale deep unsupervised learning using graphics processors
-
Rajat Raina, Anand Madhavan, and Andrew Y Ng. Large-scale deep unsupervised learning using graphics processors. In Proceedings of the ACM International Conference on Machine Learning (ICML), 2009, volume 9, pages 873-880.
-
(2009)
Proceedings of the ACM International Conference on Machine Learning (ICML)
, vol.9
, pp. 873-880
-
-
Raina, R.1
Madhavan, A.2
Ng, A.Y.3
-
27
-
-
84876512127
-
Matrix decomposition based conjugate gradient solver for poisson equation
-
Hang Liu, Jung Hee Seo, Rajat Mittal, and H Howie Huang. Matrix decomposition based conjugate gradient solver for poisson equation. In Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC), 2012, pages 1499-1500.
-
(2012)
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC)
, pp. 1499-1500
-
-
Liu, H.1
Seo, J.H.2
Mittal, R.3
Huang, H.H.4
-
29
-
-
84900414256
-
Fast acceleration of 2d wave propagation simulations using modern computational accelerators
-
Wei Wang, Lifan Xu, John Cavazos, H Howie Huang, and Matthew Kay. Fast acceleration of 2d wave propagation simulations using modern computational accelerators. Journal of PloS one, 2014.
-
(2014)
Journal of PloS One
-
-
Wang, W.1
Xu, L.2
Cavazos, J.3
Huang, H.H.4
Kay, M.5
-
30
-
-
85053749908
-
Performance modeling and analysis of flash-based storage devices
-
H Howie Huang, Shan Li, Alex Szalay, and Andreas Terzis. Performance modeling and analysis of flash-based storage devices. In IEEE Symposium on Mass Storage Systems and Technologies (MSST), 2011, pages 1-11.
-
(2011)
IEEE Symposium on Mass Storage Systems and Technologies (MSST)
, pp. 1-11
-
-
Huang, H.H.1
Li, S.2
Szalay, A.3
Terzis, A.4
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