state of the art for string analysis and pattern search using cpu and gpu based programming先进的字符串分析和模式有哪些信誉好的足球投注网站使用基于cpu和gpu编程.pdfVIP
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state of the art for string analysis and pattern search using cpu and gpu based programming先进的字符串分析和模式有哪些信誉好的足球投注网站使用基于cpu和gpu编程
Journal of Information Security, 2012, 3, 314-318 /10.4236/jis.2012.34038 Published Online October 2012 (http://www.SciRP.org/journal/jis) State of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming Mario Góngora-Blandón, Miguel Vargas-Lombardo Centro de Investigación, Desarrollo e Innovación en Tecnologías de la Información y las Comunicaciones (CIDITIC) Grupo de Investigación en Salud Electrónica y Supercomputación (GISES), Technological University of Panama, Panama City, Panama Email: mario.gongora@utp.ac.pa, miguel.vargas@utp.ac.pa Received July 11, 2012; revised August 17, 2012; accepted August 26, 2012 ABSTRACT String matching algorithms are an important piece in the network intrusion detection systems. In these systems, the chain coincidence algorithms occupy more than half the CPU process time. The GPU technology has showed in the past years to have a superior performance on these types of applications than the CPU. In this article we perform a review of the state of the art of the different string matching algorithms used in network intrusion detection systems; and also some research done about CPU and GPU on this area. Keywords: GPU; String Matching; Pattern Matching 1. Introduction In Section V the conclusions are presented. Jack Dongarra [1,2], explains that GPU computing is the 2. String Matching Algorithms Used in use of graphics processing unit together with a CPU to Intrusion Detection Systems accelerate general-purpose scientific and engineering ap- plications. The objective of the String Match
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