基于多核处理器的文本并行搜索技术研究

计算机大容量硬盘及大数据的海量内容导致硬盘存储的信息越来越多,这给数据挖掘、敏感信息发现等技术提出了新的挑战。针对这一问题,本文基于当前计算机普遍采用的多核CPU处理技术,研究分析了文本分割技术,对C＋＋AMP异构并行编程模型和多线程并行编程模型进行了分析比较,提出了一种基于多核处理器的并行搜索技术,以达到提高文本匹配搜索速度的目的。

Parallel Search Technology in Text Based on Multi-core Processor

Since the increasing of the computer hard disk capacity and the advent of the era of big data resulted in a growing number of hard disk storage information,it gives a new challenge to data mining,sensitive information discovery technology;Multi-core processors,meanwhile,has become the trend in the field of processors.To solve this problem and phenomena,this paper is based on the current computer widely used multicore CPU processing technology,through the research analysis text segmentation technology,the c＋＋AMP heterogeneous parallel programming model and multi-thread parallel programming mode comparative analysis,research and development based on the parallel model of multi-core processors,in order to achieve the purpose of improving text matching search speed.