Loosely coupled in situ visualization: A perspective on why it's here to stay

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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 languageEnglish
Title of host publicationProceedings of ISAV 2015
Subtitle of host publication1st 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
PublisherAssociation for Computing Machinery, Inc
Pages1-6
Number of pages6
ISBN (Electronic)9781450340038
DOIs
StatePublished - Nov 15 2015
Externally publishedYes
Event1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2015 - Austin, United States
Duration: Nov 16 2015 → …

Publication series

NameProceedings 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

Conference

Conference1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2015
Country/TerritoryUnited States
CityAustin
Period11/16/15 → …

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.

FundersFunder number
Oak Ridge National Laboratory
U.S. Department of EnergyDE-SC0007446
Office of Science
Advanced Scientific Computing Research
Princeton University

    Keywords

    • In situ
    • Loosely coupled in situ
    • Perspective
    • Scientific visualization
    • Tightly coupled in situ
    • Visualization techniques and methodologies

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