%0 Journal Article
%T Research on GPU based multiple data streams correlations parallel computing<br>基于GPU的多数据流相关系数并行计算方法研究*
%A ZHOU Yong
%A WANG Hao
%A CHENG Chun-tian
%A GUO He
%A <br>周勇
%A 王皓
%A 程春田
%A 郭禾
%J 计算机应用研究
%D 2010
%I 
%X n order to fulfill the need of real-time processing of data stream, presented a four layers sliding window model cross PCIE and a GPU based multiple data stream parallel processing frame. The frame could monitor statistics for thousands of sliding-window data streams, as well as exactly calculates correlations for any pairs of data streams. Experiment with comparing pure CPU method, prove new method is highly advanced in real-time capability.
%K data stream
%K sliding window multiple data streams correlations
%K graphic processing unit(GPU)
%K multiple data stream parallel processing model
%K space complexity reduction<br>数据流
%K 滑动多数据流相关系数
%K 图形处理器
%K 多数据流并行计算模型
%K 空间复杂度降载
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8B959C51A8C849266B87899A83B62F00&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=880C4253794026AD&eid=A31F2945A5873795&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11