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 Loffler Jian Tao Gabrielle Allen Erik Schnetter
Center for Computation and Technology,Louisiana State University, Baton Rouge LA, USA Center for Computation and Technology,Louisiana State University, Baton Rouge LA, USA Department of Center for Computation and Technology,Louisiana State University, Baton Rouge LA, USA Department of
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
272-279
2009-08-10（万方平台首次上网日期，不代表论文的发表时间）