Software for Exascale Computing - SPPEXA 2016-2019

Häftad, Engelska, 2020

Del 136 i serien Lecture Notes in Computational Science and Engineering

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Beskrivning

This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019.

Produktinformation

Utgivningsdatum:2020-09-18
Mått:155 x 235 x 34 mm
Vikt:943 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computational Science and Engineering
Antal sidor:620
Upplaga:20001
Förlag:Springer Nature Switzerland AG
ISBN:9783030479589

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Teknik: allmänt inom Naturvetenskap och teknik
Hårdvara inom Data och IT

Innehållsförteckning

EXA-DUNE: Flexible PDE Solvers, Numerical Methods, and Applications.- Smart-DASH: Smart Data Structures and Algorithms with Support for Hierarchical Locality.- Terra-Neo: Integrated Co-Design of an Exascale Earth Mantle Modeling Framework.- EXASTEEL-2: Dual Phase Steels - from Micro to Macro Properties.- GROMEX: Unified Long-range Electrostatics and Dynamic Protonation for Realistic Biomolecular Simulations on the Exascale.- ExaStencils: Advanced Stencil-Code Engineering.- ExaFSA: Exascale Simulation of Fluid-Structure-Acoustics Interactions.- EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond.- EXAMAG: Exascale Simulations of the Magnetic Universe.- FFMK: A Fast and Fault Tolerant Microkernel-based System for Exascale Computing.- ESSEX-II: Equipping Sparse Solvers for Exascale.- EXASOLVERS: Extreme Scale Solvers for Coupled Problems.- ADA-FS: Advanced Data Placement via Ad-hoc File Systems at Extreme Scales.- AIMES: Advanced Computation and I/O Methods for Earth-System Simulations. ExaDG: High-Order Discontinuous Galerkin for the Exa-Scale. MYX-MUST Correctness Checking for YML and XMP Programs.- ExtraPeak: Automatic Performance Modeling of HPC Applications with Multiple Model Parameters.