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Journal of Machine Learning Research 6 (2005) 363–392 Submitted 12/04; Published 4/05 Core Vector Machines: Fast SVM Training on Very Large Data Sets Ivor W. Tsang IVOR@CS.UST.HK James T. Kwok JAMESK@CS.UST.HK Pak-Ming Cheung PAKMING@CS.UST.HK Department of Computer Science The Hong Kong University of Science and Technology Clear Water Bay Hong Kong Editor: Nello Cristianini Abstract Standard SVM
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Mars: A MapReduce Framework on Graphics Processors Introduction Mars is a MapReduce framework on graphic processors (GPUs). We develop this framework aiming at providing a generic framework for developers to implement data- and computation-intensive tasks correctly, efficiently, and easily on the GPU. Mars hides the programming complexity of the GPU behind the simple and familiar MapReduce interfa
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