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Software for Exascale Computing - SPPEXA 2016-2019

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Software for Exascale Computing - SPPEXA 2016-2019
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Software for Exascale Computing: Some Remarks on the Priority Program SPPEXA
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    Chapter 2 A Perspective on the SPPEXA Collaboration from France
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    Chapter 3 A Perspective on the SPPEXA Collaboration from Japan
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    Chapter 4 ADA-FS—Advanced Data Placement via Ad hoc File Systems at Extreme Scales
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    Chapter 5 AIMES: Advanced Computation and I/O Methods for Earth-System Simulations
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    Chapter 6 DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space
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    Chapter 7 ESSEX: Equipping Sparse Solvers For Exascale
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    Chapter 8 ExaDG: High-Order Discontinuous Galerkin for the Exa-Scale
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    Chapter 9 Exa-Dune—Flexible PDE Solvers, Numerical Methods and Applications
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    Chapter 10 ExaFSA: Parallel Fluid-Structure-Acoustic Simulation
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    Chapter 11 EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations
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    Chapter 12 EXAMAG: Towards Exascale Simulations of the Magnetic Universe
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    Chapter 13 EXASTEEL: Towards a Virtual Laboratory for the Multiscale Simulation of Dual-Phase Steel Using High-Performance Computing
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    Chapter 14 ExaStencils: Advanced Multigrid Solver Generation
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    Chapter 15 ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications
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    Chapter 16 FFMK: A Fast and Fault-Tolerant Microkernel-Based System for Exascale Computing
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    Chapter 17 GROMEX: A Scalable and Versatile Fast Multipole Method for Biomolecular Simulation
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    Chapter 18 MYX: Runtime Correctness Analysis for Multi-Level Parallel Programming Paradigms
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    Chapter 19 TerraNeo—Mantle Convection Beyond a Trillion Degrees of Freedom
Attention for Chapter 10: ExaFSA: Parallel Fluid-Structure-Acoustic Simulation
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Chapter title
ExaFSA: Parallel Fluid-Structure-Acoustic Simulation
Chapter number 10
Book title
Software for Exascale Computing - SPPEXA 2016-2019
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-47956-5_10
Book ISBNs
978-3-03-047955-8, 978-3-03-047956-5
Authors

Florian Lindner, Amin Totounferoush, Miriam Mehl, Benjamin Uekermann, Neda Ebrahimi Pour, Verena Krupp, Sabine Roller, Thorsten Reimann, Dörte C. Sternel, Ryusuke Egawa, Hiroyuki Takizawa, Frédéric Simonis, Lindner, Florian, Totounferoush, Amin, Mehl, Miriam, Uekermann, Benjamin, Pour, Neda Ebrahimi, Krupp, Verena, Roller, Sabine, Reimann, Thorsten, C. Sternel, Dörte, Egawa, Ryusuke, Takizawa, Hiroyuki, Simonis, Frédéric

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Student > Bachelor 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 1 20%
Arts and Humanities 1 20%