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In-core volume rendering for Cartesian grid fluid dynamics simulations

Published: 26 July 2015 Publication History

Abstract

The volume rendering code Srend is designed for visualization of computational fluid dynamics simulations which use Cartesian grids, and it is designed to be compiled within the application for in-core rendering. Srend was embedded in three codes: Piecewise Parabolic Method (PPMstar), Cloud Model 1 (CM1), and Weather Research Forecast model (WRF). Results show modest rendering overhead, fine quality imagery, and high potential for scaling. When embedded in a code, Srend produces immediate, quality imagery, and this capability can sharply reduce data output & storage requirements.

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  1. In-core volume rendering for Cartesian grid fluid dynamics simulations

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        cover image ACM Other conferences
        XSEDE '15: Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure
        July 2015
        296 pages
        ISBN:9781450337205
        DOI:10.1145/2792745
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        • San Diego Super Computing Ctr: San Diego Super Computing Ctr
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        • Omnibond: Omnibond Systems, LLC
        • SGI
        • Internet2
        • Indiana University: Indiana University
        • CASC: The Coalition for Academic Scientific Computation
        • NICS: National Institute for Computational Sciences
        • Intel: Intel
        • DDN: DataDirect Networks, Inc
        • DELL
        • CORSA: CORSA Technology
        • ALLINEA: Allinea Software
        • Cray
        • RENCI: Renaissance Computing Institute

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 26 July 2015

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        Author Tags

        1. computational fluid dynamics
        2. visualization

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        XSEDE '15
        Sponsor:
        • San Diego Super Computing Ctr
        • HPCWire
        • Omnibond
        • Indiana University
        • CASC
        • NICS
        • Intel
        • DDN
        • CORSA
        • ALLINEA
        • RENCI

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        XSEDE '15 Paper Acceptance Rate 49 of 70 submissions, 70%;
        Overall Acceptance Rate 129 of 190 submissions, 68%

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