Results 261 to 270 of about 3,604,803 (308)

Numerical Libraries and Tools for Scalable Parallel Cluster Computing

The International Journal of High Performance Computing Applications, 2001
For cluster computing to be effective within the scientific community it is essential that there are numerical libraries and programming tools available to application developers. Cluster computing may mean a cluster of heterogeneous components or hybrid architecture with some SMP nodes.
Jack J. Dongarra, Shirley Moore, Anne E. Trefethen   +2 more
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The numerical solution of Fredholm integral equations on parallel computers

Parallel Computing, 1989
Abstract In this paper algorithmic strategies for the Parallel solution of Fredholm Integral Equations of the first kind are presented. The solution which is obtained by the minimal least squares method uses the singular value decomposition procedure. The parallel computation of the singular value decomposition (SVD) algorithm is derived in 3 phases,
David J. Evans 0001, Abdul Monem S. Rahma   +1 more
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Non-numerical methods on parallel computers

Computer Physics Communications, 1982
Abstract Analysis of computation on parallel computers reveals an interleaving of local (often numeric) processing and data re-organisation. The local processing is readily handled since it is contained within individual processors and easily expressed in terms of element-by-element operations on whole arrays.
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Numerical multiple integration on parallel computers

Computer Physics Communications, 1982
Abstract This paper discusses the implementation of methods for the approximate calculation of multiple integrals on a SIMD parallel computer. Adaptive methods using polynomial integrating basic rules and Monte Carlo and number theoretic basic rules are considered with particular reference to implementation on the ICL DAP computer.
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"Non-numerical aspects of computations on parallel hardware"

1981
The organization and interaction of data is important for both the natural expression and efficient execution of parallel computation. A set of basic non-numerical operations is outlined which is readily implemented on single instruction stream multiple data stream (SIMD) computers; the relevance of this to parallel processing is illustrated in a ...
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Parallel numerical computations of projectile flow fields

17th Applied Aerodynamics Conference, 1999
Abstract : A time-marching, Navier-Stokes code, successfully used over a decade for projectile aerodynamics, was chosen as a test case and optimized to run on modern reduced instruction set computer (RISC)-based parallel computers. The parallelized version of the code has been used to compute the axisymmetric and three-dimensional (3-D) turbulent flow ...
Jubaraj Sahu, Karen Heavey, Daniel Pressel, Surya Dinawahi   +3 more
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Numerical simulation of physical phenomena by parallel computing

1987
Beside experiment and theory, computational science is a new methodology, for the advance in research and development in natural and engineering sciences. In many fields numerical simulation becomes more and more important for industrial development and production (e.g. car builders, aircraft industry).
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Parallel computing of Numerical Manifold Method with OpenMP

2009 IEEE Youth Conference on Information, Computing and Telecommunication, 2009
This paper introduced a parallel implementation of Numerical Manifold Method based on multiprocessor platforms. First, the computing performance for a class of rock engineering problems was analyzed. For solving simultaneous equations is the most time consuming, we choose parallelized Jacobi's iterative method to speed up the computing process.
null Qinghai Miao, null Min Huang, null Qing Wei   +2 more
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Parallel computing in numerical optimization

Parallel Computing, 2003
Athanasios Migdalas, Gerardo Toraldo, V. Kumar   +2 more
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Parallel Computer Architectures for Numerical Simulation

1994
Numerical simulation requires very high performance computer architectures. This can only be achieved by using various forms of parallelism. The second section of this paper gives an introduction to the state-of-the-art in parallel computer architectures and their programming. Today, some open problems remain for the user of such architectures.
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