摘要
SVM算法在统计分类以及回归分析中得到了广泛的应用。而随着物联网的迅速发展,SVM算法在各种应用中往往需要解决大量数据的快速处理问题。在SVM算法并行化研究中,首先对SVM算法进行分析研究,提出了基于CUDA的SVM算法并行化方案;其次,进一步研究海量数据的处理,提出海量数据处理的并行化方案;最后,通过实验分析对比了并行化算法的性能。
SVM has been widely used in statistical classification and regression analysis.With the rapid development of Internet of Things,SVM algorithms in various applications often need to address the challenges in the rapid processing of large amounts of data.Firstly,this paper studied SVM algorithm parallelization and proposed a parallel CUDA-based SVM algorithm scheme,and then further researched the massive data processing,raised a massive parallel data proces-sing program.Finally,the performance of the parallel algorithm was compared via the experimental analysis comparing.
出处
《计算机科学》
CSCD
北大核心
2013年第4期69-72,106,共5页
Computer Science
基金
国家自然科学基金(61170035)
江苏省"973"自然科学基金(BK2011022)资助
