Add to ORKGThe main goal of grid programming is the study of programming models, tools and methods that support the effective development of algorithms and applications on grid. This paper discusses the design and implementation of ALiCE object-oriented grid programming template (AOPT). ALiCE is a Java-based grid computing middleware to facilitate the development and deployment of generic grid applications on heterogeneous shared computing resources. The programming template provides a distributed shared-memory programming abstraction based on JavaSpaces that frees the grid application developer from the intricacies of the core layer and the underlying grid system. AOPT is designed for developing grid applications and as a programming tool for grid-en...
Grid computing has become increasingly popular with the growth of the Internet, especially in large-...
We address the challenging problem of algorithm and program design for the Computational Grid by pr...
In computational Grids, performance-hungry applications need to simultaneously tap the computational...
This paper describes the design and implementation of MATLAB*G, a parallel MATLAB on the ALiCE Grid....
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
A grid computing environment is inherently parallel, distributed, heterogeneous and dynamic, both in...
Precision, sophistication and economic factors in many areas of scientific research that demand very...
Grid computing has emerged as a viable method for solving computational and data intensive problems,...
Today's applications need the functionality of the Grid to break freeof single resource limitations,...
Adapting applications for computational grids requires approaches to develop applications that can e...
Core Grid technologies are rapidly maturing, but there remains a shortage of real Grid applications....
This paper describes an overall framework for the design of numerical libraries on a computational G...
In computational grids, performance-hungry applications need to simultaneously tap the computational...
In scientific computation domains, there are a large number of legacy applications that run on MPPs,...
Abstract: The development of efficient Grid applications usually requires writing huge portions of c...
Grid computing has become increasingly popular with the growth of the Internet, especially in large-...
We address the challenging problem of algorithm and program design for the Computational Grid by pr...
In computational Grids, performance-hungry applications need to simultaneously tap the computational...
This paper describes the design and implementation of MATLAB*G, a parallel MATLAB on the ALiCE Grid....
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
A grid computing environment is inherently parallel, distributed, heterogeneous and dynamic, both in...
Precision, sophistication and economic factors in many areas of scientific research that demand very...
Grid computing has emerged as a viable method for solving computational and data intensive problems,...
Today's applications need the functionality of the Grid to break freeof single resource limitations,...
Adapting applications for computational grids requires approaches to develop applications that can e...
Core Grid technologies are rapidly maturing, but there remains a shortage of real Grid applications....
This paper describes an overall framework for the design of numerical libraries on a computational G...
In computational grids, performance-hungry applications need to simultaneously tap the computational...
In scientific computation domains, there are a large number of legacy applications that run on MPPs,...
Abstract: The development of efficient Grid applications usually requires writing huge portions of c...
Grid computing has become increasingly popular with the growth of the Internet, especially in large-...
We address the challenging problem of algorithm and program design for the Computational Grid by pr...
In computational Grids, performance-hungry applications need to simultaneously tap the computational...