Joseph E. Gonzalez
Joseph E. Gonzalez
Professor of Computer Science, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
Distributed graphlab: A framework for machine learning in the cloud
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
arXiv preprint arXiv:1204.6078, 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
Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin, PowerGraph: distributed graph-parallel computation on natural graphs
JE Gonzalez
Proceedings of the 10th USENIX conference on Operating Systems Design and …, 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
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 …, 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) 20, 2010
RLlib: Abstractions for distributed reinforcement learning
E Liang, R Liaw, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ...
International Conference on Machine Learning, 3053-3062, 2018
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
Cloud programming simplified: A berkeley view on serverless computing
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 2019
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
Tune: A research platform for distributed model selection and training
R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica
arXiv preprint arXiv:1807.05118, 2018
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
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
Serverless computing: One step forward, two steps back
JM Hellerstein, J Faleiro, JE Gonzalez, J Schleier-Smith, V Sreekanti, ...
arXiv preprint arXiv:1812.03651, 2018
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
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
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
Model-based value estimation for efficient model-free reinforcement learning
V Feinberg, A Wan, I Stoica, MI Jordan, JE Gonzalez, S Levine
arXiv preprint arXiv:1803.00101, 2018
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