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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
exaly +2 more sources
Journal of Supercomputing, 2011
Recent development in Graphics Processing Units (GPUs) has enabled inexpensive high performance computing for general-purpose applications. Compute Unified Device Architecture (CUDA) programming model provides the programmers adequate C language like APIs to better exploit the parallel power of the GPU.
Shenshen Liang, Yong Shi
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Recent development in Graphics Processing Units (GPUs) has enabled inexpensive high performance computing for general-purpose applications. Compute Unified Device Architecture (CUDA) programming model provides the programmers adequate C language like APIs to better exploit the parallel power of the GPU.
Shenshen Liang, Yong Shi
exaly +2 more sources
Proceedings of SPIE, 2011
The Weather Research and Forecasting (WRF) model is the latest-generation numerical weather prediction model. It has been designed to serve both operational forecasting and atmospheric research needs. It proves useful for a broad spectrum of applications for scales ranging from meters to thousands of kilometers.
Bormin Huang +2 more
exaly +2 more sources
The Weather Research and Forecasting (WRF) model is the latest-generation numerical weather prediction model. It has been designed to serve both operational forecasting and atmospheric research needs. It proves useful for a broad spectrum of applications for scales ranging from meters to thousands of kilometers.
Bormin Huang +2 more
exaly +2 more sources
Computers and Geosciences, 2013
In recent years, graphics processing units (GPUs) have emerged as a low-cost, low-power and a very high performance alternative to conventional central processing units (CPUs). The latest GPUs offer a speedup of two-to-three orders of magnitude over CPU for various science and engineering applications.
Jarno Mielikainen +2 more
exaly +2 more sources
In recent years, graphics processing units (GPUs) have emerged as a low-cost, low-power and a very high performance alternative to conventional central processing units (CPUs). The latest GPUs offer a speedup of two-to-three orders of magnitude over CPU for various science and engineering applications.
Jarno Mielikainen +2 more
exaly +2 more sources
A defect inspection method for TFT panel using the compute unified device architecture (CUDA)
2009 IEEE International Symposium on Industrial Electronics, 2009In this paper, a parallel algorithm to inspect defects of thin film transistor liquid crystal displays (TFT-LCD) panel is presented. The algorithm is implemented on a graphics processing unit (GPU) using the compute unified device architecture (CUDA) development environment. The result shows better performance compared to the one implemented on a CPU.
Jinwoo Yoo, Poogyeon Park
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Time-frequency analysis using NVIDIA compute unified device architecture (CUDA)
Proceedings of SPIE, 2009The Digital Signal Processing (DSP) requires high computing power. Von Neuman architecture reaches it's limits. To meet the high requirement of DSP algorithms the parallel processing techniques are being used. The paper presents an example of DSP application on NVIDIA graphic card using CUDA environment.
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Measurement Science and Technology, 2011
The implementation of a real-time measurement system based on visual measurements of displacement of an actuator–cantilever is presented in this paper. This work is aimed at accelerating image processing for the fast tracking of small actuators based on ionic polymer–metal composites using the graphics processing unit (GPU) approach.
Theodore Laopoulos
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The implementation of a real-time measurement system based on visual measurements of displacement of an actuator–cantilever is presented in this paper. This work is aimed at accelerating image processing for the fast tracking of small actuators based on ionic polymer–metal composites using the graphics processing unit (GPU) approach.
Theodore Laopoulos
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Proceedings Symposium on Computer Architecture and High Performance Computing, 2007
Recently, we are attending to a huge evolution on the development of high performance computing platforms. Among these platforms, the GPU (Graphics Processing Units) stimulated by game industries, constantly demanding more graphical processing power, evolved from a simple graphical card to a general purpose computation parallel data processing device ...
JOSÉ Hiroki Saito, Alexandre L M Levada
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Recently, we are attending to a huge evolution on the development of high performance computing platforms. Among these platforms, the GPU (Graphics Processing Units) stimulated by game industries, constantly demanding more graphical processing power, evolved from a simple graphical card to a general purpose computation parallel data processing device ...
JOSÉ Hiroki Saito, Alexandre L M Levada
exaly +2 more sources
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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, 2009 CUDA (Compute Unified Device Architecture) is an efficient architecture developed by NVIDIA to compute parallel algorithms on Graphic Processing Unit (GPU). Using the API associated with this architecture, we develop fast parallel algorithms to compute standard methods for computerized tomography.
Recur, Benoît +2 more
openaire +2 more sources