Radiative Magnetohydrodynamic Simulations of Solar Atmosphere
JAXA Supercomputer System Annual Report April 2017-March 2018
Report Number: R17EACA25
Subject Category: JSS2 Inter-University Research
- Responsible Representative: Haruhisa Iijima, Institute for Space-Earth Environmental Research, Nagoya University
- Contact Information: Haruhisa Iijima h.iijima@isee.nagoya-u.ac.jp
- Members: Haruhisa Iijima
Abstract
We evaluated the parallel scaling of the numerical code for the simulation of the solar surface convection, called CO-RAMENS (Convection-Oriented RAdiative Magnetohydrodynamics Extensive Numerical Solver).
Reference URL
N/A
Reasons for using JSS2
As a preparation of the large-scale simulation, we intended to evaluate the parallel efficiency of the numerical code.
Achievements of the Year
We are planning to carry out a large-scale simulation of the solar surface convection using CO-RAMENS. In this fiscal year, we evaluate the weak scaling of the code. The parallel efficiency is 87.1% in the weak scaling from 2592 cores to 5184 cores.
Publications
N/A
Usage of JSS2
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 2592
- Elapsed Time per Case: 4.00 seconds
Resources Used
Fraction of Usage in Total Resources*1(%): 0.00
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
SORA-MA | 205.33 | 0.00 |
SORA-PP | 0.00 | 0.00 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 009.54 | 0.01 |
/data | 095.37 | 0.00 |
/ltmp | 1,953.13 | 0.15 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 0.00 |
*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report April 2017-March 2018