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    Author information
    First name: Kaan
    Last name: Kara
    DBLP: 186/8781
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    Below you find the publications which have been written by this author.

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    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
    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
    Kaan Kara, Gustavo Alonso.
    Fast and robust hashing for database operators.
    26th International Conference on Field Programmable Logic and Applications, FPL 2016, Lausanne, Switzerland, August 29 - September 2, 2016 2016 (0) 2016
    Journal article
    Hantian Zhang, Kaan Kara, Jerry Li 0001, Dan Alistarh, Ji Liu 0002, Ce Zhang.
    ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Heng Guo, Kaan Kara, Ce Zhang.
    Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Kaan Kara, Jana Giceva, Gustavo Alonso.
    FPGA-based Data Partitioning.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (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
    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
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