Results 261 to 270 of about 2,988,978 (309)
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Parallelism in Seismic Computing
Surveys in Geophysics, 1989This paper describes a vectorized and parallelized implementation of a two-dimensional pseudo-spectral seismic elastic model and of a (frequency-domain) seismic migration algorithm on the (tightly-coupled) vector multiprocessor IBM 3090 VF. Performance data of alternative parallel implementations on an LCAP (loosely coupled system of array processors ...
M. Kindelan, P. Sguazzero, A. Kamel
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Nature, 1983
The functional abilities and parallel architecture of the human visual system are a rich source of ideas about visual processing. Any visual task that we can perform quickly and effortlessly is likely to have a computational solution using a parallel algorithm. Recently, several such parallel algorithms have been found that exploit information implicit
D H, Ballard +2 more
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The functional abilities and parallel architecture of the human visual system are a rich source of ideas about visual processing. Any visual task that we can perform quickly and effortlessly is likely to have a computational solution using a parallel algorithm. Recently, several such parallel algorithms have been found that exploit information implicit
D H, Ballard +2 more
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2006 Fifth International Symposium on Parallel and Distributed Computing, 2006
This paper outlines how the Mobile Message Passing Interface (MMPI) may be used for parallel computation. MMPI allows parallel programming of mobile devices over a Bluetooth network. This paper gives an overview of the MMPI library, and demonstrates that mobile devices are capable of parallel computation.
Daniel C. Doolan +2 more
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This paper outlines how the Mobile Message Passing Interface (MMPI) may be used for parallel computation. MMPI allows parallel programming of mobile devices over a Bluetooth network. This paper gives an overview of the MMPI library, and demonstrates that mobile devices are capable of parallel computation.
Daniel C. Doolan +2 more
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Parallel multischeme computation
Journal of Scientific Computing, 1988zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yi-ling F. Chiang +3 more
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2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2010
NVIDIA's CUDA architecture provides a powerful platform for writing highly parallel programs. By providing simple abstractions for hierarchical thread organization, memories, and synchronization, the CUDA programming model allows programmers to write scalable programs without the burden of learning a multitude of new programming constructs.
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NVIDIA's CUDA architecture provides a powerful platform for writing highly parallel programs. By providing simple abstractions for hierarchical thread organization, memories, and synchronization, the CUDA programming model allows programmers to write scalable programs without the burden of learning a multitude of new programming constructs.
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Parallelizing the Computation of PageRank
2007This paper presents a technique we call ParaSolve that exploits the sparsity structure of the web graph matrix to improve on the degree of parallelism in a number of distributed approaches for computating PageRank. Specifically, a typical algorithm (such as power iteration or GMRES) for solving the linear system corresponding to PageRank, call it ...
John R. Wicks, Amy Greenwald
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Parallel computation model for parallel prolog
1992A new parallel computation model for logic programs is described. A parallel logic programming language Parallel Prolog has been considered as a high level language. A data-flow model is a theoretical background of our computation model. Owing to this the model is asynchronous and utilizes innate kinds of parallelism for a highly parallel all solution ...
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Parallel computational thinking
Communications of the ACM, 2017Applications must be programmed to process instructions in parallel to take full advantage of the new multicore processors.
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Parallel computation of the bispectrum
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003This paper investigates the effectiveness of parallel computing in the calculation of the bispectrum. The bispectrum is estimated by using two different methods namely the direct and the indirect. The direct method employs 1-D FFT algorithms and the indirect method employs the 2-D FFT algorithm to estimate the bispectrum.
Khoa N. Le +2 more
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1986
There is currently a veritable explosion of research into novel computer architectures, especially parallel computers. In addition, an increasing number of interesting parallel computer products are appearing. The design motivations cover a broad spectrum: (i) parallel UNIX systems (e.g. SEQUENT Balance), (ii) Artificial Intelligence applications (e.g.
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There is currently a veritable explosion of research into novel computer architectures, especially parallel computers. In addition, an increasing number of interesting parallel computer products are appearing. The design motivations cover a broad spectrum: (i) parallel UNIX systems (e.g. SEQUENT Balance), (ii) Artificial Intelligence applications (e.g.
openaire +2 more sources