Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...
Abstract. Grid computing has great potential for supporting the integration of complex, fast changing biological data repositories to enable distributed data analysis. One scenario...
Lucas Zamboulis, Hao Fan, Khalid Belhajjame, Jenni...
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
One of the attractive features of Grid computing is that resources in geographically distant places can be mobilized to meet computational needs as they arise. A particularly chal...
Grid is a computational environment in which applications can use multiple distributed computational resources in a safe, coordinated, efficient and transparent way. Data Integra...