TY - GEN
T1 - Grid computing in New York State, USA
AU - Bednasz, Jonathan J.
AU - Gallo, Steven M.
AU - Miller, Russ
AU - Ruby, Catherine L.
AU - Weeks, Charles M.
PY - 2007
Y1 - 2007
N2 - We have designed and deployed the New York State Grid (NYS Grid), which consists of an integrated computational and data grid. NYS Grid is used in a ubiquitous fashion, where the users have virtual access to their data sets and applications, allowing the user to perform tasks without knowledge of the physical hosts for data storage or compute systems. A wide variety of applications have been ported to NYS Grid, including critical programs in a variety of fields that are ideally suited to a multiprocessor computing environment with distributed datasets. Two applications from structural biology are presented as exemplars, including our Grid portal version of the SnB program, which has been run simultaneously on all computational resources on NYS Grid, as well as on the majority of the tens of thousands of processors available through the Open Science Grid. This paper also discusses previous grids that we developed, including the Buffalo-based (ACDC) experimental grid and the Western New York Grid, as well as a wide variety of advances that we have made in terms of grid monitoring, predictive scheduling, grid portal design, and grid-enabling application templates, to name a few.
AB - We have designed and deployed the New York State Grid (NYS Grid), which consists of an integrated computational and data grid. NYS Grid is used in a ubiquitous fashion, where the users have virtual access to their data sets and applications, allowing the user to perform tasks without knowledge of the physical hosts for data storage or compute systems. A wide variety of applications have been ported to NYS Grid, including critical programs in a variety of fields that are ideally suited to a multiprocessor computing environment with distributed datasets. Two applications from structural biology are presented as exemplars, including our Grid portal version of the SnB program, which has been run simultaneously on all computational resources on NYS Grid, as well as on the majority of the tens of thousands of processors available through the Open Science Grid. This paper also discusses previous grids that we developed, including the Buffalo-based (ACDC) experimental grid and the Western New York Grid, as well as a wide variety of advances that we have made in terms of grid monitoring, predictive scheduling, grid portal design, and grid-enabling application templates, to name a few.
UR - https://www.scopus.com/pages/publications/38349040152
U2 - 10.1007/978-3-540-74767-3_29
DO - 10.1007/978-3-540-74767-3_29
M3 - Conference contribution
SN - 9783540747666
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 273
EP - 284
BT - Frontiers of High Performance Computing and Networking - ISPA 2007 Workshops. ISPA 2007 International Workshops - SSDSN, UPWN, WISH, SGC, ParDMCom,HiPCoMB, and IST-AWSN, Proceedings
PB - Springer Verlag
T2 - 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 International Workshops: SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN
Y2 - 29 August 2007 through 31 August 2007
ER -