Richard Chiou and James Jia and Pradeep Kalipatnapu and Yiheng Yang

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2016-113

May 17, 2016

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-113.pdf

BIDData is a machine learning library under development at Berkeley, whose use of the GPU gives it a single core performance that outpaces its peers. My capstone team and I have integrated BIDData with Apache Spark to create a cutting-edge and easy-to-use distributed, GPU-based machine learning library for applications in big data.

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BibTeX citation:

@techreport{Chiou:EECS-2016-113,
    Author= {Chiou, Richard and Jia, James and Kalipatnapu, Pradeep and Yang, Yiheng},
    Editor= {Canny, John F.},
    Title= {Building a Distributed, GPU-based Machine Learning Library},
    Year= {2016},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-113.html},
    Number= {UCB/EECS-2016-113},
    Abstract= {BIDData is a machine learning library under development at Berkeley, whose use of the GPU gives it a single core performance that outpaces its peers. My capstone team and I have integrated BIDData with Apache Spark to create a cutting-edge and easy-to-use distributed, GPU-based machine learning library for applications in big data.},
}

EndNote citation:

%0 Report
%A Chiou, Richard 
%A Jia, James 
%A Kalipatnapu, Pradeep 
%A Yang, Yiheng 
%E Canny, John F. 
%T Building a Distributed, GPU-based Machine Learning Library
%I EECS Department, University of California, Berkeley
%D 2016
%8 May 17
%@ UCB/EECS-2016-113
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-113.html
%F Chiou:EECS-2016-113