Last edited by Zulujinn
Saturday, July 18, 2020 | History

1 edition of GPU Solutions to Multi-scale Problems in Science and Engineering found in the catalog.

GPU Solutions to Multi-scale Problems in Science and Engineering

by David A. Yuen

  • 393 Want to read
  • 27 Currently reading

Published by Springer Berlin Heidelberg, Imprint: Springer in Berlin, Heidelberg .
Written in English

    Subjects:
  • Physical geography,
  • Physical organic chemistry,
  • Electronic data processing,
  • Geophysics/Geodesy,
  • Physical and theoretical Chemistry,
  • Materials,
  • Computer science,
  • Numeric Computing,
  • Continuum Mechanics and Mechanics of Materials

  • About the Edition

    This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.

    Edition Notes

    Statementedited by David A. Yuen, Long Wang, Xuebin Chi, Lennart Johnsson, Wei Ge, Yaolin Shi
    SeriesLecture Notes in Earth System Sciences
    ContributionsWang, Long, Chi, Xuebin, Johnsson, Lennart, Ge, Wei, Shi, Yaolin, SpringerLink (Online service)
    Classifications
    LC ClassificationsQA297-299.4
    The Physical Object
    Format[electronic resource] /
    PaginationXIII, 689 p. 344 illus., 263 illus. in color.
    Number of Pages689
    ID Numbers
    Open LibraryOL27041639M
    ISBN 109783642164057

      GPU Solutions to Multi-scale Problems in Science and Engineering, () A structural model of the VEGF signalling pathway: Emergence of robustness and redundancy properties. Mathematical Biosciences and Engineering ,   Acceleration of an existing MPI-based, particle-laden turbulent flow simulation code is achieved using up to four NVIDIA GPU devices. The overall design is to transfer the entire flow velocity, temperature, and humidity fields to each device, and compute particle trajectories entirely on the GPU .

    Comments: To appear as part of "GPU Solutions to Multi-scale Problems in Science and Engineering", this http URL Journal-ref: ISBN , Springer, Subjects: Mathematical Software () ; Numerical Analysis (). In this article, we illuminate a few of the more practical aspects of bringing DG onto a GPU, including the use of a Python-based metaprogramming infrastructure that was created specifically to support DG, but has found many uses across all disciplines of computational t: To appear as part of "GPU Solutions to Multi-scale Problems.

    Discontinuous Galerkin (DG) methods for the numerical solution of par- tial differential equations have enjoyed considerable success because they are both flexible and robust: They allow arbitrary unstructured geometries and easy control of accuracy without compromising simulation stability. In a recent publication, we have shown that DG methods also adapt readily to execution on modern.   Multiscale Science and Engineering is a peer-reviewed, international journal that is aimed at promoting the communication and discussion of multiscale and multiphysics-related cale Science and Engineering can be a home for scientists, researchers, and professionals who are interested in the multiscale (and/or multiphysics) science and engineering .


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GPU Solutions to Multi-scale Problems in Science and Engineering by David A. Yuen Download PDF EPUB FB2

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It will show the public why GPU computing is important and easy to use. GPU Solutions to Multi-scale Problems in Science and Engineering (Lecture Notes in Earth System Sciences) th Edition by David A.

Yuen (Editor), Long Wang (Editor), Xuebin Chi (Editor), Lennart Johnsson (Editor), Wei Ge (Editor), Yaolin Shi (Editor) & 3 moreFormat: Hardcover. GPU Solutions to Multi-scale Problems in Science and Engineering (Lecture Notes in Earth System Sciences) - Kindle edition by Yuen, David A., Wang, Long, Chi, Xuebin, Johnsson, Lennart, Ge, Wei, Shi, Yaolin.

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GPU Solutions to Multi-scale Problems in Science and Engineering. GPU Solutions to Multi-scale Problems in Science and Engineering pp Wang L., Chi X., Johnsson L., Ge W., Shi Y. (eds) GPU Solutions to Multi-scale Problems in Science and Engineering.

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Editors: David Yuen, Jianfeng Wang, Lennart Johnsson, Chi-Hung Chi, Yaolin Shi the third volume in the GPU Pro book series, offers practical tips and techniques for creating real-time graphics that are useful to beginners and seasoned game and graphics.GPU Solutions to Multi-scale Problems in Science and Engineering.

Throughout the book, they demonstrate many example codes that can be used as templates .GPU Solutions to Multi-scale Problems in Science and Engineering () David A. Sanchez, University of Minnesota Christopher Gonzalez, University of Minnesota.