GPUSVM: a comprehensive CUDA based support vector machine package
作者： Qi Li , Raied Salman , Erik Test , Robert Strack , Vojislav Kecman
DOI: 10.2478/S13537-011-0028-7
关键词:
摘要: GPUSVM (Graphic Processing Unit Support Vector Machine) is a Computing Unified Device Architecture (CUDA) based Machine (SVM) package. It designed to offer an end-user fully functional and user friendly SVM tool which utilizes the power of GPUs. The core package includes efficient cross validation tool, fast training predicting tool. In this article, we first introduce background theory how build our parallel solver using CUDA programming model. Then compare with popular state art Libsvm on several well known datasets. preliminary results have shown one two orders magnitude speed improvement in both phases compared Tesla server.
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