First Experience of Accelerating a Field-Induced Chiral Transition Simulation Using the SX-Aurora TSUBASA
| Autor: | Arata Endo, Hirono Kaneyasu, Susumu Date, Shinji Yoshida |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer Networks and Communications
Computer science Transition (fiction) OS Offload VH Call Field (computer science) vectorization ratio Computer Science Applications Vector processor SX-Aurora TSUBASA Acceleration Computational Theory and Mathematics Computer engineering General purpose VEO Hardware and Architecture Transfer (computing) Host (network) Implementation Software Information Systems |
| Zdroj: | Supercomputing Frontiers and Innovations. 8(2):43-58 |
| ISSN: | 2409-6008 |
| Popis: | An analysis method based on the Ginzburg-Landau equation for the superconductivity is applied to the field-induced chiral transition simulation (FICT). However, the FICT is time consuming because it takes approximately 10 hours on a single SX-ACE vector processor. Moreover, the FICT must be repeatedly performed with parameters changed to understand the mechanism of the phenomenon. The newly emerged SX-Aurora TSUBASA, the successor of the SX-ACE processor, is expected to provide much higher performance to the programs executed on the SX-ACE as is. However, the SX-Aurora TSUBASA processor has changed its architecture of compute nodes and gives users three different execution models, which leads to users’ concerns and questions in terms of how three execution models should be selectively used. In this paper, we report the first experience of using the SX-Aurora TSUBASA processor for the FICT. Specifically, we have developed three implementations of the FICT corresponding to the three execution models suggested by the SX-Aurora TSUBASA. For acceleration of the FICT, improvement of the vectorization ratio in the program execution and the efficient transfer of data to the general purpose processor as the vector host from the vector processor as the vector engine is explored. The evaluation in this paper shows how acceleration of the FICT is achieved as well as how much effort of users is required. |
| Databáze: | OpenAIRE |
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