Parallel I/O Performance Characterization of Columbia and NEC SX-8 Superclusters Export

@inproceedings{citeulike:5374093, abstract = {Many scientific applications running on today's supercomputers deal with increasingly large data sets and are correspondingly bottlenecked by the time it takes to read or write the data from/to the file system. We therefore undertook a study to characterize the parallel I/O performance of two of today's leading parallel supercomputers: the Columbia system at NASA Ames Research Center and the NEC SX-8 supercluster at the University of Stuttgart, Germany. On both systems, we ran a total of seven parallel I/O benchmarks, comprising five low-level benchmarks: (i) IO\_Bench, (ii) MPI Tile IO, (iii) IOR (POSIX and MPI-IO), (iv) b\_eff\_io (five different patterns), and (v) SPIOBENCH, and two scalable synthetic compact application (SSCA) benchmarks: (a) HPCS (high productivity computing systems) SSCA \#3 and (b) FLASH IO (parallel HDF5). We present the results of these experiments characterizing the parallel I/O performance of these two systems.}, author = {Saini, S. and Talcott, D. and Thakur, Rajeev and Adamidis, P. and Rabenseifner, R. and Ciotti, R.}, booktitle = {Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International}, citeulike-article-id = {5374093}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/IPDPS.2007.370289}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4228017}, doi = {10.1109/IPDPS.2007.370289}, journal = {Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International}, keywords = {i-o, performance\_analysis, supercomputer\_cases}, pages = {1--10}, posted-at = {2009-08-05 20:17:31}, priority = {2}, title = {Parallel I/O Performance Characterization of Columbia and NEC SX-8 Superclusters}, url = {http://dx.doi.org/10.1109/IPDPS.2007.370289}, year = {2007} }

TY - CONF ID - citeulike:5374093 L3 - citeulike-article-id:5374093 N2 - Many scientific applications running on today's supercomputers deal with increasingly large data sets and are correspondingly bottlenecked by the time it takes to read or write the data from/to the file system. We therefore undertook a study to characterize the parallel I/O performance of two of today's leading parallel supercomputers: the Columbia system at NASA Ames Research Center and the NEC SX-8 supercluster at the University of Stuttgart, Germany. On both systems, we ran a total of seven parallel I/O benchmarks, comprising five low-level benchmarks: (i) IO_Bench, (ii) MPI Tile IO, (iii) IOR (POSIX and MPI-IO), (iv) b_eff_io (five different patterns), and (v) SPIOBENCH, and two scalable synthetic compact application (SSCA) benchmarks: (a) HPCS (high productivity computing systems) SSCA #3 and (b) FLASH IO (parallel HDF5). We present the results of these experiments characterizing the parallel I/O performance of these two systems. JF - Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International EP - 10 TI - Parallel I/O Performance Characterization of Columbia and NEC SX-8 Superclusters T2 - Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International SP - 1 KW - i-o KW - performance_analysis KW - supercomputer_cases AU - Saini, S AU - Talcott, D AU - Thakur, Rajeev AU - Adamidis, P AU - Rabenseifner, R AU - Ciotti, R PY - 2007/// UR - http://dx.doi.org/10.1109/IPDPS.2007.370289 ER -