Publications by ETH Systems Group

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    Conference paper
    Hantian Zhang, Jerry Li 0001, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang.
    ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Kaan Kara, Dan Alistarh, Gustavo Alonso, Onur Mutlu, Ce Zhang.
    FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off.
    25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2017, Napa, CA, USA, April 30 - May 2, 2017 2017 (0) 2017
    Conference paper
    Muhsen Owaida, David Sidler, Kaan Kara, Gustavo Alonso.
    Centaur: A Framework for Hybrid CPU-FPGA Databases.
    25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2017, Napa, CA, USA, April 30 - May 2, 2017 2017 (0) 2017
    Conference paper
    Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun.
    Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data.
    Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu.
    Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Heng Guo, Kaan Kara, Ce Zhang.
    Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jie Jiang, Jiawei Jiang, Bin Cui 0001, Ce Zhang.
    TencentBoost: A Gradient Boosting Tree System with Parameter Server.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Ce Zhang, Wentao Wu 0001, Tian Li.
    An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision.
    Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017 2017 (0) 2017
    Conference paper
    Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin 0001, Feiran Wang, Sen Wu 0002.
    DeepDive: declarative knowledge base construction.
    Commun. ACM 2017, Volume 60 (0) 2017
    Conference paper
    David Sidler, Zsolt István, Muhsen Owaida, Kaan Kara, Gustavo Alonso.
    doppioDB: A Hardware Accelerated Database.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
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    Your query returned 616 matches in the database.