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Dynamic task scheduling for the Uintah framework

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3 Author(s)
Qingyu Meng ; Sch. of Comput., Univ. of Utah, Salt Lake City, UT, USA ; Luitjens, J. ; Berzins, M.

Uintah is a computational framework for fluid-structure interaction problems using a combination of the ICE fluid flow algorithm, adaptive mesh refinement (AMR) and MPM particle methods. Uintah uses domain decomposition with a task-graph approach for asynchronous communication and automatic message generation. The Uintah software has been used for a decade with its original task scheduler that ran computational tasks in a predefined static order. In order to improve the performance of Uintah for petascale architecture, a new dynamic task scheduler allowing better overlapping of the communication and computation is designed and evaluated in this study. The new scheduler supports asynchronous, out-of-order scheduling of computational tasks by putting them in a distributed directed acyclic graph (DAG) and by isolating task memory and keeping multiple copies of task variables in a data warehouse when necessary. A new runtime system has been implemented with a two-stage priority queuing architecture to improve the scheduling efficiency. The effectiveness of this new approach is shown through an analysis of the performance of the software on large scale fluid-structure examples.

Published in:

Many-Task Computing on Grids and Supercomputers (MTAGS), 2010 IEEE Workshop on

Date of Conference:

15-15 Nov. 2010