Study on multi-dimensional time series data analysis
JAXA Supercomputer System Annual Report April 2018-March 2019
Report Number: R18EDA201N04
Subject Category: Aeronautical Technology
- Responsible Representative: Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit
- Contact Information: Aeronautical Technology Directorate, Numerical Simulation Research Unit(ohmichi.yuya@jaxa.jp)
- Members: Yuya Ohmichi, Keita Nakamoto
Abstract
Knowledge extraction techniques for large data sets are important because the computers and numerical simulation techniques have been highly developed and they produced massive datasets. In this study, we have been developing knowledge extraction tools which extract patterns from large data sets obtained by unsteady fluid simulations.
Reference URL
N/A
Reasons for using JSS2
Large amount of memory is necessary for performing the developed knowledge extraction tools.
Achievements of the Year
Using the proposed method for unsteady flow data analysis, we identified several dominant fluid structures in the wake of an atmospheric entry capsule, and quantitatively clarified the aerodynamic forces caused by the fluid structures.
Publications
– Oral Presentations
1)Yuya Ohmichi, Kenji Kobayashi, Masahiro Kanazaki, “Feature extraction technique for large time-series data and its application to wake flow analysis of a re-entry capsule,” 50thFDC/36thANSS, July 2018.
2)Yuya Ohmichi, “Dynamic Mode Decomposition for Unsteady Fluid Data Analysis,”35th Annual Meeting of The Japan Society of Plasma Science and Nuclear Fusion Research, December 2018.
– Other
Yuya Ohmichi, Yasuhiko Igarashi, “Dynamic Mode Decomposition for Multi-dimensional Time Series Analysis”,Vol. 25, 1, pp. 2-9, 2018.
Usage of JSS2
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 72 Hour(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.09
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 | 685,086.01 | 0.08 |
| SORA-PP | 4,638.84 | 0.04 |
| SORA-LM | 5,300.77 | 2.47 |
| SORA-TPP | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 278.16 | 0.29 |
| /data | 5,696.62 | 0.10 |
| /ltmp | 1,139.32 | 0.10 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 7.04 | 0.25 |
*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 2018-March 2019