Computational grids are increasingly being used for executing large multi-component scientific applications. The most widely reported advantages of application execution on grids are the performance benefits, in terms of speeds, problem sizes or quality of solutions, due to increased number of processors. We explore the possibility of improved performance on grids without increasing the application’s processor space. For this, we consider grids with multiple batch systems. We explore the challenges involved in and the advantages of executing long-running multi-component applications on multiple batch sites with a popular multi-component climate simulation application, CCSM, as the motivation.We have performed extensive simulation studies...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
The prediction of the climate system is highly depended on the efficient integration of observations...
Abstract—There are situations when a user has simultaneous access to computing resources in many vir...
In this work, we evaluate the benefits of using Grids with multiple batch systems to improve the per...
Computational grids with multiple batch systems (batch grids) can be powerful infrastructures for ex...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
Community Climate System Model (CCSM) is a Multiple Program Multiple Data (MPMD) parallel global cl...
eScience applications need to use distributed Grid environments where each component is an individua...
Applications that query, analyze and manipulate very large data sets have become important consumer...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
The prediction of the climate system is highly depended on the efficient integration of observations...
Abstract—There are situations when a user has simultaneous access to computing resources in many vir...
In this work, we evaluate the benefits of using Grids with multiple batch systems to improve the per...
Computational grids with multiple batch systems (batch grids) can be powerful infrastructures for ex...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
Community Climate System Model (CCSM) is a Multiple Program Multiple Data (MPMD) parallel global cl...
eScience applications need to use distributed Grid environments where each component is an individua...
Applications that query, analyze and manipulate very large data sets have become important consumer...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
The prediction of the climate system is highly depended on the efficient integration of observations...
Abstract—There are situations when a user has simultaneous access to computing resources in many vir...