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Publications in Scientific Journals:

I. Voitsekhovitch, R. Hatzky, D. Coster, F. Imbeaux, D. McDonald, T. Fehér, K. Kang, H. Leggate, M. Martone, S. Mochalskyy, X. Sáez, T. Ribeiro, T. Tran, A. Gutierrez-Milla, T. Aniel, D. Figat, L. Fleury, O. Hoenen, J. Hollocombe, D. Kaljun, G. Manduchi, M. Owsiak, V. Pais, B. Palak, M. Plociennik, J. Signoret, C. Vouland, D. Yadykin, F. Robin, F. Iannone, G. Bracco, J. David, A. Maslennikov, J. Noé, E. Rossi, R. Kamendje, S. Heuraux, M. Hölzl__, S. Pinches, F. Da Silva, D. Tskhakaya:
"Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling";
Fusion Science and Technology, 74 (2018), 186 - 197.



English abstract:
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 MARCONIFUSION),
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.

Keywords:
High-performance computer, infrastructure for integrated modeling, code optimization and parallelization.

Created from the Publication Database of the Vienna University of Technology.