Cross-Reference Simulation by Code-To-Code Adapter (CoToCoA) Library for the Study of Multi-Scale Physics in Planetary Magnetospheres

Yuto Katoh, Keiichiro Fukazawa, Takeshi Nanri, Yohei Miyake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have developed a cross-reference simulation code by a newly developed Code-To-Code Adapter (CoToCoA) library for the study of wave-particle interactions in planetary magnetospheres. The cross-reference simulation is a simulation model combining multiple simulation codes, which enables us to carry out multi-scale and multi-physics simulations. The cross-reference simulation is a unique approach in the space physics community, because HPC application codes are individually developed using a different set of basic equations and therefore the data transfer between the codes usually requires considerable efforts in adjusting interface. While the difficulties in combining the codes resulted in rare trials in the space physics community, the CoToCoA library plays crucial role in the modernization of the cross-reference simulation. The design concept of the CoToCoA library is to realize the communication among the codes with keeping necessary modification of the original code small, which enables us to carry out 'strong' cross-reference simulations; the data exchange among simulation codes is conducted by direct memory access, instead of file output as has been used in conventional 'weak' cross-reference simulations. In this paper, we present examples of the cross-reference simulation and describe how we implemented the CoToCoA library into the codes. We carry out a benchmark using a cross-reference simulation code and demonstrate that we can realize the 'strong' cross-reference simulation without incurring appreciable overheads as we used in the conventional 'weak' cross-reference simulations.

Original languageEnglish
Title of host publicationProceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages223-226
Number of pages4
ISBN (Electronic)9781665428354
DOIs
Publication statusPublished - 2021
Event9th International Symposium on Computing and Networking Workshops, CANDARW 2021 - Virtual, Online, Japan
Duration: Nov 23 2021Nov 26 2021

Publication series

NameProceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021

Conference

Conference9th International Symposium on Computing and Networking Workshops, CANDARW 2021
Country/TerritoryJapan
CityVirtual, Online
Period11/23/2111/26/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Software

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