Add to ORKGGeneral purpose Problem Solving Environments (PSEs) like Matlab are widely used in the fields of science for development of new algorithms. If a lot of computing power is required to run these algorithms, today's PSEs lack support for accessing the distributed infrastructures of the organisation (i.e. grids), which limits the size of the problems that can be solved. This contribution shows a new approach to utilize the grid from within PSEs without major adjustments by the user. The primary tools are GridSolve and and the grid-middleware gLite. The applicability is illustrated by an exemplary algorithm (Mandelbrot calculations)
The challenge of CERN experiments at the Large Hadron Collider (LHC), which will collect data at rat...
The int.eu.grid project aims at providing a production quality grid computing infrastructure for e-S...
The Computational Grid has promised a great deal in support of innovative applications, particularly...
Journal ArticleCombining the functionality of NetSolve, a grid-based middleware solution, with SCIR...
The Internet’s continued rapid growth is creating an untapped environment containing a large quantit...
In this paper we present the new project called GridLab which is funded by the European Commission u...
This paper describes an overall framework for the design of numerical libraries on a computational G...
Abstract. The emergence of small, mobile, inexpensive computing plat-forms has made computation poss...
The Geodise project is one of the Engineering and Physical Sciences Research Council pilot projects....
The process of design search and optimisation using Computational Fluid Dynamics (CFD) is computatio...
The process of design search and optimisation using Computational Fluid Dynamics (CFD) is computatio...
The Grid has the prospective to essentially change the way science and engineering are done. Aggrega...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
Grid computing is distributed computing performed transparently across multiple administrative domai...
Grid Computing has, over the past few years, matured sufficiently to make it a viable solution for r...
The challenge of CERN experiments at the Large Hadron Collider (LHC), which will collect data at rat...
The int.eu.grid project aims at providing a production quality grid computing infrastructure for e-S...
The Computational Grid has promised a great deal in support of innovative applications, particularly...
Journal ArticleCombining the functionality of NetSolve, a grid-based middleware solution, with SCIR...
The Internet’s continued rapid growth is creating an untapped environment containing a large quantit...
In this paper we present the new project called GridLab which is funded by the European Commission u...
This paper describes an overall framework for the design of numerical libraries on a computational G...
Abstract. The emergence of small, mobile, inexpensive computing plat-forms has made computation poss...
The Geodise project is one of the Engineering and Physical Sciences Research Council pilot projects....
The process of design search and optimisation using Computational Fluid Dynamics (CFD) is computatio...
The process of design search and optimisation using Computational Fluid Dynamics (CFD) is computatio...
The Grid has the prospective to essentially change the way science and engineering are done. Aggrega...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
Grid computing is distributed computing performed transparently across multiple administrative domai...
Grid Computing has, over the past few years, matured sufficiently to make it a viable solution for r...
The challenge of CERN experiments at the Large Hadron Collider (LHC), which will collect data at rat...
The int.eu.grid project aims at providing a production quality grid computing infrastructure for e-S...
The Computational Grid has promised a great deal in support of innovative applications, particularly...