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String Matching on a Multicore GPU Using CUDA

机译:使用CUDA在多核GPU上进行字符串匹配

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Graphics Processing Units (GPUs) have evolved over the past few years from dedicated graphics rendering devices to powerful parallel processors, outperforming traditional Central Processing Units (CPUs) in many areas of scientific computing. The use of GPUs as processing elements was very limited until recently, when the concept of General-Purpose computing on Graphics Processing Units (GPGPU) was introduced. GPGPU made possible to exploit the processing power and the memory bandwidth of the GPUs with the use of APIs that hide the GPU hardware from programmers. This paper presents experimental results on the parallel processing for some well known on-line string matching algorithms using one such GPU abstraction API, the Compute Unified Device Architecture (CUDA).
机译:在过去的几年中,图形处理单元(GPU)已从专用的图形渲染设备发展成为功能强大的并行处理器,在科学计算的许多领域都超过了传统的中央处理器(CPU)。直到最近,当引入图形处理单元上的通用计算(GPGPU)的概念时,将GPU作为处理元素的使用一直非常有限。 GPGPU通过使用对程序员隐藏GPU硬件的API,可以利用GPU的处理能力和内存带宽。本文介绍了使用一种这样的GPU抽象API(计算统一设备体系结构(CUDA))对一些著名的在线字符串匹配算法进行并行处理的实验结果。

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