Over the past decade, system architectures have started on a clear trend towards increased parallelism and heterogeneity, often resulting in speedups of 10x to 100x. Despite numer...
Parallel application development for Grids can from tools that abstract the underlying Grid middleware, hide the critical aspects of heterogeneous resources and provide utilities ...
Queries over scientific data often imply expensive analyses of data requiring a lot of computational resources available in Grids. We are developing a customizable query processor...
Deployment of distributed applications on large systems, and especially on grid infrastructures, becomes a more and more complex task. Grid users spend a lot of time to prepare, in...
Grid computing is becoming the natural way to aggregate and share large sets of heterogeneous resources. With the infrastructure becoming ready for the challenge, current grid dev...