Paper Info
Title
Parallel high-performance grid computing: capabilities and opportunities of a novel demanding service and business class allowing highest resource efficiency.
Abstract
Especially in the life-science and the health-care sectors the huge IT requirements are imminent due to the large and complex systems to be analysed and simulated. Grid infrastructures play here a rapidly increasing role for research, diagnostics, and treatment, since they provide the necessary large-scale resources efficiently. Whereas grids were first used for huge number crunching of trivially parallelizable problems, increasingly parallel high-performance computing is required. Here, we show for the prime example of molecular dynamic simulations how the presence of large grid clusters including very fast network interconnects within grid infrastructures allows now parallel high-performance grid computing efficiently and thus combines the benefits of dedicated super-computing centres and grid infrastructures. The demands for this service class are the highest since the user group has very heterogeneous requirements: i) two to many thousands of CPUs, ii) different memory architectures, iii) huge storage capabilities, and iv) fast communication via network interconnects, are all needed in different combinations and must be considered in a highly dedicated manner to reach highest performance efficiency. Beyond, advanced and dedicated i) interaction with users, ii) the management of jobs, iii) accounting, and iv) billing, not only combines classic with parallel high-performance grid usage, but more importantly is also able to increase the efficiency of IT resource providers. Consequently, the mere "yes-we-can" becomes a huge opportunity like e.g. the life-science and health-care sectors as well as grid infrastructures by reaching higher level of resource efficiency.
Year
DOI
Venue
2010
10.3233/978-1-60750-583-9-264
Studies in Health Technology and Informatics
Keywords
Field
DocType
High-performance parallel computing,grid and GPU computing,molecular dynamics simulation,NAMD,e-Human Grid Ecology
Complex system,Prime (order theory),Business class,Data mining,DRMAA,Grid computing,Performance efficiency,Resource efficiency,Computer science,Grid
Conference
Volume
ISSN
Citations 
159
0926-9630
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Nick Kepper182.95
Ramona Ettig200.34
Frank Dickmann3168.21
Rene Stehr400.34
Frank G Grosveld5323.12
Gero Wedemann6212.77
Tobias A Knoch7618.01