Abstract. Grids allow users to build applications with enormous demands for computational resources. Intuitively, this involves more development effort and expertise on Grid programming. The so-called gridification tools address these problems by deriving the Grid-enabled version of an application from its binary code. Unfortunately, most of such tools produce coarse-grained Grid applications that prevent developers from employing common tuning mechanisms such as parallelism and distribution, and are inflexible, since they were not thought to reuse existing Grid middleware services. We propose a new gridification tool for binary Java applications that solves these issues called BYG (BYtecode Gridifier). Results suggest that BYG can be emplo...
Copyright © 2002 IEEEThis position paper considers how existing Grid infrastructure can be use to su...
The Java language and platform have been considered by many as natural candidate for creating grid s...
Desktop grids are an emerging trend converging volunteer computing and grid computing. Unfortunately...
Grid technologies allow developers to run applications with enormous demands for resources such as p...
Exploiting Grids intuitively requires developers to alter their applications, which calls for expert...
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeas...
Computational Grids deliver the necessary computational infrastructure to perform resource-intensive...
The development of massively distributed applications with enormous demands for computing power, mem...
In computational grids, performance-hungry applications need to simultaneously tap the computational...
In computational Grids, performance-hungry applications need to simultaneously tap the computational...
Today's applications need the functionality of the Grid to break freeof single resource limitations,...
Computational grids have an enormous potential to provide compute power. However, this power remains...
This paper describes how to explicitly separate crosscutting Grid concerns in a parallel Java applic...
Abstra t. Grid programming environments need to be both portable and e ient to exploit the omputa...
We address the challenging problem of algorithm and program design for the Computational Grid by pr...
Copyright © 2002 IEEEThis position paper considers how existing Grid infrastructure can be use to su...
The Java language and platform have been considered by many as natural candidate for creating grid s...
Desktop grids are an emerging trend converging volunteer computing and grid computing. Unfortunately...
Grid technologies allow developers to run applications with enormous demands for resources such as p...
Exploiting Grids intuitively requires developers to alter their applications, which calls for expert...
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeas...
Computational Grids deliver the necessary computational infrastructure to perform resource-intensive...
The development of massively distributed applications with enormous demands for computing power, mem...
In computational grids, performance-hungry applications need to simultaneously tap the computational...
In computational Grids, performance-hungry applications need to simultaneously tap the computational...
Today's applications need the functionality of the Grid to break freeof single resource limitations,...
Computational grids have an enormous potential to provide compute power. However, this power remains...
This paper describes how to explicitly separate crosscutting Grid concerns in a parallel Java applic...
Abstra t. Grid programming environments need to be both portable and e ient to exploit the omputa...
We address the challenging problem of algorithm and program design for the Computational Grid by pr...
Copyright © 2002 IEEEThis position paper considers how existing Grid infrastructure can be use to su...
The Java language and platform have been considered by many as natural candidate for creating grid s...
Desktop grids are an emerging trend converging volunteer computing and grid computing. Unfortunately...