TY - JOUR
T1 - Scientific grid computing
T2 - The first generation
AU - Chin, Jonathan
AU - Harvey, Matthew J.
AU - Jha, Shantenu
AU - Coveney, Peter V.
N1 - Funding Information:
several years. In particular, we thank Stephen Pickles and his group at the University of Manchester for their work on the computational steering system and Jens Harting and Philip Fowler for their work on the TeraGyroid and grid-based TI projects. We’re grateful to the Engineering and Physical Sciences Research Council (www.epsrc.ac.uk) for funding much of this research through the RealityGrid grant GR/R67699. Our work was partially supported by the US National Science Foundation under the National Resource Allocations Committee (NRAC) grant MCA04N014. We used computer resources at the Pittsburgh Supercomputer Center, the US National Computational Science Alliance, the TeraGrid, and the UK National Grid Service.
PY - 2005/9
Y1 - 2005/9
N2 - Gris computing middlewares are effective tools to meet the complex computing demands of scientific users, in geographically distributed computing domains. The grid computing middlewares abstract a task's technical details, and free let user free from caring about data transfer, job submission resource allocation, and authorization across the federated resources. The RealityGrid project has adopted a fast-track approach to scientific applications on the grids, and developed a software infrastructure designed to enable existing high-end scientific application use on grids. The well-designed, robust and extensible middleware, can help scientific to introduce new technologies without requiring refactoring the application code.
AB - Gris computing middlewares are effective tools to meet the complex computing demands of scientific users, in geographically distributed computing domains. The grid computing middlewares abstract a task's technical details, and free let user free from caring about data transfer, job submission resource allocation, and authorization across the federated resources. The RealityGrid project has adopted a fast-track approach to scientific applications on the grids, and developed a software infrastructure designed to enable existing high-end scientific application use on grids. The well-designed, robust and extensible middleware, can help scientific to introduce new technologies without requiring refactoring the application code.
UR - https://www.scopus.com/pages/publications/33744986515
UR - https://www.scopus.com/pages/publications/33744986515#tab=citedBy
U2 - 10.1109/MCSE.2005.100
DO - 10.1109/MCSE.2005.100
M3 - Review article
AN - SCOPUS:33744986515
SN - 1521-9615
VL - 7
SP - 24
EP - 32
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
IS - 5
ER -