scholarly journals General Algorithm for Improved Lattice Actions on Parallel Computing Architectures

2001 ◽  
Vol 170 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Frédéric D.R. Bonnet ◽  
Derek B. Leinweber ◽  
Anthony G. Williams
Keyword(s):  
Parallel Computing ◽  
General Algorithm ◽  
Lattice Actions

Research on the Application of Computer Virtual Image Technology in Artistic Photography

2013 ◽  
Vol 846-847 ◽  
pp. 1355-1358
Author(s):  
Xiao Jie Xiong
Keyword(s):  
Image Processing ◽  
Parallel Computing ◽  
General Algorithm ◽  
Computer Art ◽  
Virtual Image ◽  
Depth Analysis ◽  
Large Fluctuations ◽  
Art Photography ◽  
Artistic Image ◽  
Computer Resources

The principles of using computer parallel calculation method carries out in-depth analysis and research for computer art photography virtual imaging technology, and carries out image processing experiments for the artistic image rendering, we can get better art photography image processing effect. Combined with photography image virtual image mathematical model, this paper designs a computer program of photography image art rendering, and carries out art rendering for a landscape painting, we can get ideal art modification effect. Finally, this paper begins to calculated results for the parallel computing of art photography rendering, the calculation is found that the parallel computing is less time-consuming than general algorithm and with the increase of pixel time-consuming increased gently, it doesnt appear large fluctuations. For an image of the same resolution to carry on data processing, the general algorithm takes 55 seconds to complete the task. For parallel computing, it needs to3 seconds to complete, greatly saving time and computer resources, and providing the theory reference for the development of artistic photographys virtual image technology

Parallel Computing in Optimization

1998 ◽  
Vol 49 (7) ◽  
pp. 770-771
Author(s):  
V J Rayward-Smith
Keyword(s):  
Parallel Computing

Matlab and Parallel Computing

2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Control Systems ◽  
High Performance ◽  
Parallel Applications ◽  
Process Simulations ◽  
Key Features ◽  
Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

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