By Topic

Many-task applications in the Integrated Plasma Simulator

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Samantha S. Foley ; Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA ; Wael R. Elwasif ; David E. Bernholdt ; Aniruddha G. Shet
more authors

This paper discusses the Integrated Plasma Simulator (IPS), a framework for coupled multiphysics simulation of fusion plasmas, in the context of many-task computing. The IPS supports multiple levels of parallelism: individual computational tasks can be parallel, components can launch multiple tasks concurrently, tasks from multiple components can be executed concurrently within a simulation, and multiple simulations can be run simultaneously. Each level of parallelism is constructed on top of the many-task computing capabilities implemented in the IPS, the foundation for the parallelism presented at the multiple simulation level. We show that a modest number of simultaneous simulations, with appropriately sized resource allocations, can provide a better trade-off between resource utilization and overall execution time than if they are run as separate jobs. This approach is highly beneficial for situations in which individual simulation tasks may differ significantly in parallel scalability, as is the case in many scientific communities where coupled simulations rely substantially on legacy code.

Published in:

2010 3rd Workshop on Many-Task Computing on Grids and Supercomputers

Date of Conference:

15-15 Nov. 2010