DocumentCode
2289187
Title
Simulation Factory: Taming application configuration and workflow on high-end resources
Author
Thomas, Michael W. ; Schnetter, Erik
Author_Institution
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
fYear
2010
fDate
25-28 Oct. 2010
Firstpage
369
Lastpage
378
Abstract
Computational Science on large high performance computing resources is hampered by the complexity of these systems. Much of this complexity is due to low-level details on these resources that are exposed to the application and the end user. This includes (but is not limited to) mechanisms for remote access, configuring and building applications from source code, and managing simulations and their output files via batch queue systems. These challenges multiply in a modern research environment, where a research collaboration spans multiple groups, often in loosely defined international collaborations, where there is a constant influx of new students into multi-year projects, and where simulations are performed on several different resources. The Simulation Factory addresses these challenges by significantly simplifying remote access, building executables, and managing simulations. By abstracting out the low-level differences between different resources, it offers a uniform interface to these resources. At the same time, it can enforce certain standards for performing simulations that encapsulate best practices from experienced users. Furthermore, SimFactory´s automation avoids many possible user errors that can in the worst case render month-long simulations worthless. The Simulation Factory is freely available under an open source license.
Keywords
configuration management; groupware; batch queue systems; computational science; high performance computing resources; open source license; simulation factory; taming application configuration; Buildings; Computational modeling; Databases; High performance computing; Libraries; Production facilities; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid Computing (GRID), 2010 11th IEEE/ACM International Conference on
Conference_Location
Brussels
Print_ISBN
978-1-4244-9347-0
Type
conf
DOI
10.1109/GRID.2010.5698010
Filename
5698010
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