High performance computing in scienc...
Kroner, Dietmar H.

 

  • High performance computing in science and engineering '14[electronic resource] :transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 /
  • Record Type: Language materials, printed : Monograph/item
    [NT 15000414]: 004.3
    Title/Author: High performance computing in science and engineering '14 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 // edited by Wolfgang E. Nagel, Dietmar H. Kroner, Michael M. Resch.
    other author: Nagel, Wolfgang E.
    Published: Cham : : Springer International Publishing :, 2015.
    Description: xiii, 691 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    Subject: High performance computing.
    Subject: Science - Data processing.
    Subject: Engineering - Data processing.
    Subject: Mathematics.
    Subject: Computational Science and Engineering.
    Subject: Theoretical, Mathematical and Computational Physics.
    Subject: Appl.Mathematics/Computational Methods of Engineering.
    Subject: Theoretical and Computational Chemistry.
    ISBN: 9783319108100 (electronic bk.)
    ISBN: 9783319108094 (paper)
    [NT 15000228]: Preface -- Part I: Physics -- Part II: Molecules, Surfaces, and Solids -- Part III: Reacting Flows -- Part IV: Computational Fluid Dynamics -  Part V: Transport and Climate -- Part VI: Miscellaneous Topics.
    [NT 15000229]: This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe's leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
    Online resource: http://dx.doi.org/10.1007/978-3-319-10810-0
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