Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogen...
Large distributed systems such as Computational Grids require a large amount of monitoring data be collected for a variety of tasks such as fault detection, performance analysis, ...
Brian Tierney, Brian Crowley, Dan Gunter, Mason Ho...
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Abstract. Grid computing is becoming a mainstream technology for multiinstitutional distributed resources sharing and system integration. Normally, the programmer's productivi...