James Jia, Pradeep Kalipatnapu and Yiheng Yang
EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2016-112
May 17, 2016
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-112.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 distributed, GPU-based machine learning library for future big data applications.
BibTeX citation:
@techreport{Jia:EECS-2016-112, Author = {Jia, James and Kalipatnapu, Pradeep and Yang, Yiheng}, Editor = {Canny, John F.}, Title = {Building a Distributed, GPU-based Machine Learning Library}, Institution = {EECS Department, University of California, Berkeley}, Year = {2016}, Month = {May}, URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-112.html}, Number = {UCB/EECS-2016-112}, 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 distributed, GPU-based machine learning library for future big data applications.} }
EndNote citation:
%0 Report %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-2016-112 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-112.html %F Jia:EECS-2016-112