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Title: An Evaluation of An Asynchronous Task Based Dataflow Approach For Uintah

Abstract

The challenge of running complex physics code on the largest computers available has led to dataflow paradigms being explored. While such approaches are often applied at smaller scales, the challenge of extreme-scale data flow computing remains. The Uintah dataflow framework has consistently used dataflow computing at the largest scales on complex physics applications. At present Uintah contains two main dataflow models. Both are based upon asynchronous communication. One uses a static graph-based approach with asynchronous communication and the other uses a more dynamic approach that was introduced almost a decade ago. Subsequent changes within the Uintah runtime system combined with many more large scale experiments, has necessitated a reevaluation of these two approaches, comparing them in the context of large scale problems. While the static approach has worked well for some large-scale simulations, the dynamic approach is seen to offer performance improvements over the static case for a challenging fluid-structure interaction problem at large scale that involves fluid flow and a moving solid represented using particle method on an adaptive mesh.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567568
Resource Type:
Conference
Journal Name:
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
Additional Journal Information:
Conference: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC); 15-19 Jul 2019; Milwaukee, WI, USA, USA
Country of Publication:
United States
Language:
English

Citation Formats

Humphrey, Alan, and Berzins, Martin. An Evaluation of An Asynchronous Task Based Dataflow Approach For Uintah. United States: N. p., 2019. Web. doi:10.1109/COMPSAC.2019.10282.
Humphrey, Alan, & Berzins, Martin. An Evaluation of An Asynchronous Task Based Dataflow Approach For Uintah. United States. doi:10.1109/COMPSAC.2019.10282.
Humphrey, Alan, and Berzins, Martin. Mon . "An Evaluation of An Asynchronous Task Based Dataflow Approach For Uintah". United States. doi:10.1109/COMPSAC.2019.10282.
@article{osti_1567568,
title = {An Evaluation of An Asynchronous Task Based Dataflow Approach For Uintah},
author = {Humphrey, Alan and Berzins, Martin},
abstractNote = {The challenge of running complex physics code on the largest computers available has led to dataflow paradigms being explored. While such approaches are often applied at smaller scales, the challenge of extreme-scale data flow computing remains. The Uintah dataflow framework has consistently used dataflow computing at the largest scales on complex physics applications. At present Uintah contains two main dataflow models. Both are based upon asynchronous communication. One uses a static graph-based approach with asynchronous communication and the other uses a more dynamic approach that was introduced almost a decade ago. Subsequent changes within the Uintah runtime system combined with many more large scale experiments, has necessitated a reevaluation of these two approaches, comparing them in the context of large scale problems. While the static approach has worked well for some large-scale simulations, the dynamic approach is seen to offer performance improvements over the static case for a challenging fluid-structure interaction problem at large scale that involves fluid flow and a moving solid represented using particle method on an adaptive mesh.},
doi = {10.1109/COMPSAC.2019.10282},
journal = {2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

Conference:
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