The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform

Greg Astfalk - One of the best experts on this subject based on the ideXlab platform.

  • applications on advanced Architecture Computers
    1996
    Co-Authors: Greg Astfalk
    Abstract:

    From the Publisher: This volume conveniently brings together updated versions of 30 articles that originally appeared in SIAM News from 1990 to 1995. The objective of the column from which the articles are taken is to present applications that have been successfully treated on advanced Architecture Computers. Astfalk edits this popular series of articles in SIAM's flagship publication, SIAM News. Algorithmic issues addressed are those which have found general use in building parallel codes for solving problems. In addition to updates that reflect advances and changes in the field of applications on advanced Architecture Computers, Astfalk has added an index and introductory comments to each article, making this book cohesive and interesting to practitioners and researchers alike. Although some of the Computers used in older articles are no longer available and some of the languages are rarely used, what is valuable in these articles is the diversity of areas to which advanced computing can be applied. Perhaps more valuable than the diversity are the successful methods used to achieve parallelism. This may be used by others for similar applications. The applications and technology discussed cover many disciplines, with significant overlap. Articles deal with molecular dynamics, optimization/math programming, finance/economics, geometry, and partial differential equations.

Edward W Larsen - One of the best experts on this subject based on the ideXlab platform.

  • iterative methods for solving x y geometry sn problems on parallel Architecture Computers
    Nuclear Science and Engineering, 1992
    Co-Authors: Musa Yavuz, Edward W Larsen
    Abstract:

    In this paper, geometric domain decomposition methods are described for solving x-y geometry discrete ordinates (S[sub N]) problems on parallel Architecture Computers. First, a parallel source iteration scheme is developed; here, one subdivides the spatial domain of the problem, performs transport sweeps independently in each subdomain, and iterates on the scattering source and the interface fluxes between each subdomain. Second, a parallel diffusion synthetic acceleration (DSA) scheme is developed to speed up the convergence of the parallel source iteration. These schemes have been implemented on the IBM RP3, a shared/distributed memory parallel computer. The numerical results show that the parallel source iteration and DSA methods both exhibit significant speedups over their scalar counterparts, but that a degradation in parallel efficiency occurs due to the geometric domain decomposition (iteration on interface fluxes) and the overhead time required for the communication of data between processors.

Mohamed O Bensalah - One of the best experts on this subject based on the ideXlab platform.

  • on the object modelling of the massively parallel Architecture Computers
    Software Engineering, 2010
    Co-Authors: Mohamed Youssfi, Omar Bouattane, Mohamed O Bensalah
    Abstract:

    ABSTRACT In this paper, we present a modelling method to describe and emulate the massively parallel single Instruction Multiple Data (SIMD) structure machines. Among the modelled machines, we distinguish the linear, 2D meshes and pyramidal structures. All these Computers are based physically on a multitude of fine grained processing elements (PE) arranged and coupled according to their associated topological pattern. Basing on the object modelling technique and on the XML description language, we develop a hard kernel of a parallel 2D virtual machine in which we translate all the physical properties of its different components. This kernel can be easily extended to the other mentioned topological structures. A parallel programming language and its compiler are also developed to edit, compile and run parallel programs. Furthermore, some illustrative examples will be given to show how the developed instruction sets can be manipulated to touch a large field of the parallel data processing applications.

R. V. Sadovnikov - One of the best experts on this subject based on the ideXlab platform.

Musa Yavuz - One of the best experts on this subject based on the ideXlab platform.

  • iterative methods for solving x y geometry sn problems on parallel Architecture Computers
    Nuclear Science and Engineering, 1992
    Co-Authors: Musa Yavuz, Edward W Larsen
    Abstract:

    In this paper, geometric domain decomposition methods are described for solving x-y geometry discrete ordinates (S[sub N]) problems on parallel Architecture Computers. First, a parallel source iteration scheme is developed; here, one subdivides the spatial domain of the problem, performs transport sweeps independently in each subdomain, and iterates on the scattering source and the interface fluxes between each subdomain. Second, a parallel diffusion synthetic acceleration (DSA) scheme is developed to speed up the convergence of the parallel source iteration. These schemes have been implemented on the IBM RP3, a shared/distributed memory parallel computer. The numerical results show that the parallel source iteration and DSA methods both exhibit significant speedups over their scalar counterparts, but that a degradation in parallel efficiency occurs due to the geometric domain decomposition (iteration on interface fluxes) and the overhead time required for the communication of data between processors.