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GPU-Accelerated Boussinesq Model Using Compute Unified Device Architecture FORTRAN
Journal of Coastal Research, 2018 ABSTRACT Kim, B.; Oh, C.; Yi, Y., and Kim, D.-H., 2018. GPU-Accelerated of Boussinesq model using compute unified device architecture FORTRAN. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp.
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Optical Flow Computation on Compute Unified Device Architecture
14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007Katsumi Tadamura
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, 2018 This paper sets up a parameterized model of engine-bladed disk system. Then a method of mistuned parameter identification is proposed, which consists of static frequency test of blades, dichotomy, and finite element analysis.
Tianyu Zhao, Hongxin Li, Huagang Sun
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Parallelization of RSA Algorithm Based on Compute Unified Device Architecture
2010 Ninth International Conference on Grid and Cloud Computing, 2010In the domain of computer security, how to enhance the speed of RSA algorithm has been the research hot spot. With the recent tremendous increase in Graphics Processing Unit's computing capability as a co-processor of the CPU, Nvidia’s Compute Unified Device Architecture (CUDA) can greatly benefit single instruction multiple thread styled ...
Wenjun Fan, Xudong Chen, Xuefeng Li
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Texture Synthesis Based on Compute Unified Device Architecture
2010 International Conference on Multimedia Technology, 2010Texture synthesis is important in producing computer-generated animation. In order to tackle the issue of poor efficiency of traditional serial point matching texture synthesis algorithm, we propose a parallel approach based on CUDA (Compute Unified Device Architecture) for texture synthesis.
Zhifeng Zhang, Wei Wang, Wenbiao Jin
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Automatic Control and Computer Sciences, 2017 Fengxian Shen, Xu Jian, Xianjie Xi
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Parallel Character Reconstruction Expending Compute Unified Device Architecture
2013Neural networks, or the artificial neural networks to be more precise, represents a technology that is rooted in many disciplines: neuroscience, mathematics, statistics, physics, computer science and engineering. Neural network finds applications in such fields as modeling, time series analysis, pattern recognition signal processing and control by ...
Anita Pal +2 more
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, 2017 Parallel data clustering aims at using algorithms and methods to extract knowledge from fat databases in rational time using high performance architectures.
V. Saveetha, S. Sophia
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Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)
2009 IEEE Student Conference on Research and Development (SCOReD), 2009CUDA is a platform developed by Nvidia for general purpose computing on Graphic Processing Unit to utilize the parallelism capabilities. Serpent encryption is considered to have high security margin as its advantage; however it lacks in speed as its disadvantage.
Anas Mohd Nazlee +2 more
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Microblog Data Parallel Monitoring Algorithm on Compute Unified Device Architecture
2015There is a large-scale information data in microblog systems to be processed in real time. Processing large-scale microblog data needs high-performance computing architectures and parallel algorithms. Graphic processing units are adaptable to process data-intensive computing tasks.
Yunpeng Cao, Haifeng Wang
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