Joseph Gonzalez
Joseph Gonzalez
Assistant Professor, UC Berkeley
Verified email at - Homepage
TitleCited byYear
Distributed GraphLab: a framework for machine learning and data mining in the cloud
Y Low, D Bickson, J Gonzalez, C Guestrin, A Kyrola, JM Hellerstein
Proceedings of the VLDB Endowment 5 (8), 716-727, 2012
Powergraph: Distributed graph-parallel computation on natural graphs
JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin
Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012
Apache spark: a unified engine for big data processing
M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ...
Communications of the ACM 59 (11), 56-65, 2016
Graphx: Graph processing in a distributed dataflow framework
JE Gonzalez, RS Xin, A Dave, D Crankshaw, MJ Franklin, I Stoica
11th {USENIX} Symposium on Operating Systems Design and Implementation …, 2014
Graphlab: A new framework for parallel machine learning
Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein
arXiv preprint arXiv:1408.2041, 2014
Graphx: A resilient distributed graph system on spark
RS Xin, JE Gonzalez, MJ Franklin, I Stoica
First International Workshop on Graph Data Management Experiences and Systems, 2, 2013
Graphlab: A new parallel framework for machine learning
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
Conference on uncertainty in artificial intelligence (UAI), 340-349, 2010
Scalable inference in latent variable models
A Ahmed, M Aly, J Gonzalez, S Narayanamurthy, AJ Smola
Proceedings of the fifth ACM international conference on Web search and data …, 2012
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
Residual splash for optimally parallelizing belief propagation
J Gonzalez, Y Low, C Guestrin
Artificial Intelligence and Statistics, 177-184, 2009
Clipper: A low-latency online prediction serving system
D Crankshaw, X Wang, G Zhou, MJ Franklin, JE Gonzalez, I Stoica
14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017
Parallel gibbs sampling: From colored fields to thin junction trees
J Gonzalez, Y Low, A Gretton, C Guestrin
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Opaque: An oblivious and encrypted distributed analytics platform
W Zheng, A Dave, JG Beekman, RA Popa, JE Gonzalez, I Stoica
14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017
Security strategies for SCADA networks
R Chandia, J Gonzalez, T Kilpatrick, M Papa, S Shenoi
International Conference on Critical Infrastructure Protection, 117-131, 2007
Graphx: Unifying data-parallel and graph-parallel analytics
RS Xin, D Crankshaw, A Dave, JE Gonzalez, MJ Franklin, I Stoica
arXiv preprint arXiv:1402.2394, 2014
A berkeley view of systems challenges for ai
I Stoica, D Song, RA Popa, D Patterson, MW Mahoney, R Katz, ...
arXiv preprint arXiv:1712.05855, 2017
Skipnet: Learning dynamic routing in convolutional networks
X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez
Proceedings of the European Conference on Computer Vision (ECCV), 409-424, 2018
The missing piece in complex analytics: Low latency, scalable model management and serving with velox
D Crankshaw, P Bailis, JE Gonzalez, H Li, Z Zhang, MJ Franklin, A Ghodsi, ...
arXiv preprint arXiv:1409.3809, 2014
Distributed parallel inference on large factor graphs
JE Gonzalez, Y Low, C Guestrin, D O'Hallaron
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
Standards for graph algorithm primitives
T Mattson, D Bader, J Berry, A Buluc, J Dongarra, C Faloutsos, J Feo, ...
2013 IEEE High Performance Extreme Computing Conference (HPEC), 1-2, 2013
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