CUSMART: effective parallelization of string matching algorithms using GPGPU accelerators

This study presents a parallel version of the string matching algorithms research tool (SMART) library, implemented on NVIDIA’s compute unified device architecture (CUDA) platform, and uses general-purpose computing on graphics processing unit (GPGPU) programming concepts to enhance performance and...

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Veröffentlicht in:	Frontiers of information technology & electronic engineering Jg. 26; H. 6; S. 877 - 895
Hauptverfasser:	Ozsoy, Adnan, Nazli, Mengu, Cankur, Onur, Sahin, Cagri
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hangzhou Zhejiang University Press 01.06.2025 Springer Nature B.V
Schlagworte:	Algorithms Application programming interface Communications Engineering Computation Computer Hardware Computer Science Computer Systems Organization and Communication Networks Electrical Engineering Electronics and Microelectronics Graphics processing units Instrumentation Networks Optimization techniques Parallel processing Research Article String matching NVIDIA 统一计算设备架构(CUDA) String matching 图形处理器(GPU)编程 String matching algorithms research tool (SMART) 并行编程 TP391.4 通用图形处理器(GPGPU) 英伟达(NVDIA) Parallel programming Compute unified device architecture (CUDA) 字符串匹配算法研究工具(SMART) Graphics processing unit (GPU) programming General-purpose computing on GPU (GPGPU) 字符串匹配
ISSN:	2095-9184, 2095-9230
Online-Zugang:	Volltext
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