Plasma fusion code coupling using scalable I/O services and scientific workflows

Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In order to understand the complex physics of mother nature, physicist often use many approximations to understand one area of physics and then write a simulation to reduce these equations to ones that can be solved on a computer. Different approximations lead to different equations that model different physics, which can often lead to a completely different simulation code. As computers become more powerful, scientists can either write one simulation that models all of the physics or they produce several codes each for different portions of the physics and then 'couple' these codes together. In this paper, we concentrate on the latter, where we look at our code coupling approach for modeling a full device fusion reactor. There are many approaches to code coupling. Our first approach was using Kepler workflows to loosely couple three codes via files (memory-to-disk-to-memory coupling). This paper describes our new approach moving towards using memory-to-memory data exchange to allow for a tighter coupling. Our approach focuses on a method which brings together scientific workflows along with staging I/O methods for code coupling. Staging methods use additional compute nodes to perform additional tasks such as data analysis, visualization, and NxM transfers for code coupling. In order to transparently allow application scientist to switch from memory to memory coupling to memory to disk to memory coupling, we have been developing a framework that can switch between these two I/O methods and then automate other workflow tasks. Our hybrid approach allows application scientist to easily switch between in-memory coupling and file-based coupling on-the-fly, which aids debugging these complex configurations.

Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, WORKS '09, in Conjunction with SC 2009
DOIs
StatePublished - 2009
Event4th Workshop on Workflows in Support of Large-Scale Science, WORKS '09, in Conjunction with SC 2009 - Portland, OR, United States
Duration: Nov 16 2009Nov 16 2009

Publication series

NameProceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, WORKS '09, in Conjunction with SC 2009

Conference

Conference4th Workshop on Workflows in Support of Large-Scale Science, WORKS '09, in Conjunction with SC 2009
Country/TerritoryUnited States
CityPortland, OR
Period11/16/0911/16/09

Keywords

  • Code coupling
  • Parallel I/O
  • Plasma simulation
  • Workflow design
  • Workflow execution

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