Benchmarking parallel i/o performance for a large scale scientific application on the teragrid

Authors:
Frank Löffler;Jian Tao;Gabrielle Allen;Erik Schnetter
Affiliations:
Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA
Venue:
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Year:
2009

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Abstract

This paper is a report on experiences in benchmarking I/O performance on leading computational facilities on the NSF TeraGrid network with a large scale scientific application. Instead of focusing only on the raw file I/O bandwidth provided by different machine architectures, the I/O performance and scalability of the computational tools and libraries that are used in current production simulations are tested as a whole, however with focus mostly on bulk transfers. It is seen that the I/O performance of our production code scales very well, but is limited by the I/O system itself at some point. This limitation occurs at a low percentage of the computational size of the machines, which shows that at least for the application used for this paper the I/O system can be an important limiting factor in scaling up to the full size of the machine.