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CNHPCA
2009
Springer

Benchmarking Parallel I/O Performance for a Large Scale Scientific Application on the TeraGrid

8 years 10 months ago
Benchmarking Parallel I/O Performance for a Large Scale Scientific Application on the TeraGrid
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.
Frank Löffler, Jian Tao, Gabrielle Allen, Eri
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CNHPCA
Authors Frank Löffler, Jian Tao, Gabrielle Allen, Erik Schnetter
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