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Acceleration Method of 3D Medical Images Registration Based on Compute Unified Device Architecture
Bio-Medical Materials and Engineering, 2014Compute Unified Device Architecture (CUDA) is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increase in computing performance via the power of the graphics processing unit (GPU). In medical image analysis, 3D image registration generally takes relatively long time, which is not feasible for clinical ...
Lu Meng
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H.264/AVC motion estimation implmentation on Compute Unified Device Architecture (CUDA)
2008 IEEE International Conference on Multimedia and Expo, 2008Due to the rapid growth of graphics processing unit (GPU) processing capability, using GPU as a coprocessor to assist the central processing unit (CPU) in computing massive data becomes essential. In this paper, we present an efficient block-level parallel algorithm for the variable block size motion estimation (ME) in H.264/AVC with fractional pixel ...
Hsueh-Ming Hang
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2009 International Conference on Signal Processing Systems, 2009
We explore the use of today’s high-end Graphics processing units on desktops to perform hierarchical agglomerative clustering with the Compute Unified Device Architecture – CUDA of NVIDIA. Although the advancement in graphics cards has made the gaming industry to flourish,there is a lot more to be gained the field of scientific computing, high ...
Manoranjan Dash
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We explore the use of today’s high-end Graphics processing units on desktops to perform hierarchical agglomerative clustering with the Compute Unified Device Architecture – CUDA of NVIDIA. Although the advancement in graphics cards has made the gaming industry to flourish,there is a lot more to be gained the field of scientific computing, high ...
Manoranjan Dash
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Efficient Computation of Mandelbrot Set Generation with Compute Unified Device Architecture (CUDA)
2022 6th International Conference on Informatics and Computational Sciences (ICICoS), 2022Fajar Agung Nugroho
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Optical Flow Computation on Compute Unified Device Architecture
14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007Yoshiki Mizukami, Katsumi Tadamura
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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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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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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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IBS Simulations with Compute Unified Device Architecture (CUDA) Technology
2014A program code for 6D tracking has been developed taking into account IBS (Intra-Beam Scattering) and Touschek effect and using Monte-Carlo method. The simulation algorithm has been developed on the basis of well-known IBS theory presented in (*). The resulting program can be executed using GPGPU devices (General-Purpose Graphics Processing Units ...
Glukhov, Sergey +5 more
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