- By:
- Yao, Zhuo ; Wang, Dali ; Wang, Yifan ; Yuan, Fengming
- Page Number:
- 44-55
- Volume:
- II
- Issue Number:
- n/a
- Book Title:
- Computational Science – ICCS 2018
- Publication Date:
- March 12, 2026
- Publisher Location:
- Springer, Cham, Switzerland
- Conference Name:
- International Conference on Computational Science (ICCS 2018)
- Conference Location:
- Wuxi, China
- Conference Sponsor:
- Springer
- View DOI Listing:
- https://doi.org/10.1007/978-3-319-93701-4_4
Abstract
Based on previous work on in-situ data transfer infrastructure and compiler-based software analysis, we have designed a virtual observation system for real time computer simulations. This paper presents an event detection framework for a virtual observation system. By using signal processing and detection approaches to the memory-based data streams, this framework can be reconfigured to capture high-frequency events and low-frequency events. These approaches used in the framework can dramatically reduce the data transfer needed for in-situ data analysis (between distributed computing nodes or between the CPU/GPU nodes). In the paper, we also use a terrestrial ecosystem system simulation within the Earth System Model to demonstrate the practical values of this effort.
