Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling
Artikel i vetenskaplig tidskrift, 2018
© 2018, © 2018 The Authors. Published with license by Taylor & Francis Group, LLC. Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision of computational resources and numerical tools capable of simulating multiscale spatial phenomena as well as fast transient events and relatively slow plasma evolution within a reasonably short computational time. Recent progress in the implementation of the new computational resources for fusion applications in Europe based on modern supercomputer technologies (supercomputer MARCONI-FUSION), in the optimization and speedup of the EU fusion-related first-principle codes, and in the development of a basis for physics codes/modules integration into a centrally maintained suite of IM tools achieved within the EUROfusion Consortium is presented. Physics phenomena that can now be reasonably modelled in various areas (core turbulence and magnetic reconnection, edge and scrape-off layer physics, radio-frequency heating and current drive, magnetohydrodynamic model, reflectometry simulations) following successful code optimizations and parallelization are briefly described. Development activities in support to IM are summarized. They include support to (1) the local deployment of the IM infrastructure and access to experimental data at various host sites, (2) the management of releases for sophisticated IM workflows involving a large number of components, and (3) the performance optimization of complex IM workflows.
High-performance computer
infrastructure for integrated modeling
code optimization and parallelization
Författare
I. Voitsekhovitch
Culham Science Centre
R. Hatzky
Max-Planck-Gesellschaft
D. Coster
Max-Planck-Gesellschaft
F. Imbeaux
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
D. C. McDonald
Culham Science Centre
EUROfusion Programme Management Unit
Tamás Fehér
Max-Planck-Gesellschaft
K. S. Kang
Max-Planck-Gesellschaft
H. Leggate
Dublin City University
M. Martone
Max-Planck-Gesellschaft
S. Mochalskyy
Max-Planck-Gesellschaft
X. Sáez
Centro Nacional de Supercomputacion
T. Ribeiro
Max-Planck-Gesellschaft
T. M. Tran
Swiss Plasma Centre
A. Gutierrez-Milla
Centro Nacional de Supercomputacion
T. Aniel
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
D. Figat
Poznanskie Centrum Superkomputerowo Sieciowe
L. Fleury
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
Olivier Hoenen
Max-Planck-Gesellschaft
J. Hollocombe
Culham Science Centre
D. Kaljun
Univerza V Ljubljani
G. Manduchi
Consorzio Rfx
M. Owsiak
Poznanskie Centrum Superkomputerowo Sieciowe
V. Pais
National Institute for Laser, Plasma and Radiation Physics
B. Palak
Poznanskie Centrum Superkomputerowo Sieciowe
M. Plociennik
Poznanskie Centrum Superkomputerowo Sieciowe
J. Signoret
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
C. Vouland
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
Dimitriy Yadykin
Chalmers, Rymd-, geo- och miljövetenskap, Astronomi och plasmafysik
F. Robin
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
F. Iannone
ENEA
G. Bracco
ENEA
J. David
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
A. Maslennikov
CINECA
J. Noé
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
E. Rossi
CINECA
R. Kamendje
EUROfusion Programme Management Unit
Technische Universität Graz
S. Heuraux
University of Lorraine
M. Hölzl
Max-Planck-Gesellschaft
S. D. Pinches
ITER Organization
F. Da Silva
Instituto Superior Tecnico
D. Tskhakaya
Technische Universität Wien
Fusion Science and Technology
1536-1055 (ISSN) 19437641 (eISSN)
Vol. 74 3 186-197Ämneskategorier
Inbäddad systemteknik
Datavetenskap (datalogi)
Datorsystem
DOI
10.1080/15361055.2018.1424483