1,720,985 research outputs found

    MGF: a Grid-enabled MPI Library

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    Computational grids allow access to several computing resources interconnected in a distributed heterogeneous infrastructure for parallel computing. This powerful resource aggregation increases the application runtime environment complexity. A simple programming model, capable of hiding this complexity, facilitates the use of grid technology in high-performance computing. The message passing interface can play this role and make the grid more accessible to developers with parallel programming skills. In this paper we present MGF, a grid-enabled MPI implementation which extends the existing MPICH-G2. MGF aims are: to allow the transparent use of coupled Grid resources within the MPI library; to give programmers a detailed view of the execution system network topology; to use the most efficient channel available for point-to-point communications and finally, to mprove collective operation efficiency by introducing a delegation mechanism

    Signal integrity: An interactive multimedia course

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    The main bottleneck in high speed digital processing systems comes interconnections. An understanding of the "signal integrity" problems is mandatory for digital systems designer, but requires familiarity with the analog and high frequency domains. A CD-ROM on Electromagnetic Compatibility with a section on signal integrity attempts to bridge the gap, by providing an application-oriented description of problems and solutions, with extensive use of interactive multimedia

    A CUDA-based implementation of an improved SPH method on GPU

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    We present a CUDA-based parallel implementation on GPU architecture of a modified version of the Smoothed Particle Hydrodynamics (SPH) method. This modified formulation exploits a strategy based on the Taylor series expansion, which simultaneously improves the approximation of a function and its derivatives with respect to the standard formulation. The improvement in accuracy comes at the cost of an additional computational effort. The computational demand becomes increasingly crucial as problem size increases but can be addressed by employing fast summations in a parallel computational scheme. The experimental analysis showed that our parallel implementation significantly reduces the runtime, with speed-ups of up to 90,when compared to the CPU-based implementation

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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