These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...
In this paper, we consider a generic model of computational grids, seen as several clusters of homogeneous processors. In such systems, a key issue when designing efficient job al...
High Performance computing generally involves some parallel applications to be deployed on the multiples resources used for the computation. The problem of scheduling the applicat...
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expe...