Abstract
In this position paper, we argue that the loosely coupled in situ processing paradigm will play an important role in high performance computing for the foreseeable future. Loosely coupled in situ is an enabling technique that addresses many of the current issues with tightly coupled in situ, including, ease-of-integration, usability, and fault tolerance. We survey the prominent positives and negatives of both tightly coupled and loosely coupled in situ and present our recommendation as to why loosely coupled in situ is an enabling technique that is here to stay. We then report on some recent experiences with loosely coupled in situ processing, in an effort to explore each of the discussed factors in a realworld environment.
Original language | English |
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Title of host publication | Proceedings of ISAV 2015 |
Subtitle of host publication | 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis |
Publisher | Association for Computing Machinery, Inc |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781450340038 |
DOIs | |
State | Published - Nov 15 2015 |
Externally published | Yes |
Event | 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2015 - Austin, United States Duration: Nov 16 2015 → … |
Publication series
Name | Proceedings of ISAV 2015: 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis |
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Conference
Conference | 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2015 |
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Country/Territory | United States |
City | Austin |
Period | 11/16/15 → … |
Funding
We gratefully acknowledge the use of the resources of the Oak Ridge Leadership Computing Facility (OLCF). We are especially grateful to Choong-Seock Chang and Seung-Hoe Ku of the Princeton Plasma Physics Laboratory for the use of XGC data. This work was done supported by the Scalable Data Analysis and Visualization Institute (SDAV) which is funded by the Advanced Scientific Computing Research Office, Office of Science, U.S. Department of Energy, under contract DE-SC0007446.
Keywords
- In situ
- Loosely coupled in situ
- Perspective
- Scientific visualization
- Tightly coupled in situ
- Visualization techniques and methodologies