An important characteristic of distributed grids is that they allow geographically separated multicomputers to be tied together in a transparent virtual environment to solve large-scale computational problems. However, many of these applications require effective runtime load balancing for the resulting solutions to be viable. Recently, we devel-oped a latency tolerant partitioner, called MinEX, speci-cally for use in distributed grid environments. This paper compares the performance of MinEX to that of METIS us-ing simulated heterogeneous grid congurations. A solver for the classical N-body problem is implemented to provide a benchmark for the comparisons. Simulation results show that MinEX provides superior quality partitions while being ...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using grid systems comes from different strategies, among which partiti...
Abstract—Computational grids have the potential computing power for solving large-scale scientific c...
Abstract — The Information Power Grid (IPG) concept developed by NASA is aimed to provide a metacomp...
Parallel structured adaptive mesh refinement methods decrease the execution time and memory usage of...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
In this paper, we evaluate strategies of domain decomposition in Grid environment to solve mesh-base...
We present performance measurements of direct gravitational N-body simulation on the grid, with and ...
With the general availability of PetaFLOP clusters and the advent of heterogeneous machines equipped...
Abstract. This paper addresses the problem of porting distributed parallel applications to the Grid....
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
Computational grids and grid middleware offer unprecedented computational power and storage capacity...
Computational grids and grid middleware offer unprecedented computational power and storage capacity...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
We address the problem of porting parallel distributed applications from static homogeneous cluster ...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using grid systems comes from different strategies, among which partiti...
Abstract—Computational grids have the potential computing power for solving large-scale scientific c...
Abstract — The Information Power Grid (IPG) concept developed by NASA is aimed to provide a metacomp...
Parallel structured adaptive mesh refinement methods decrease the execution time and memory usage of...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
In this paper, we evaluate strategies of domain decomposition in Grid environment to solve mesh-base...
We present performance measurements of direct gravitational N-body simulation on the grid, with and ...
With the general availability of PetaFLOP clusters and the advent of heterogeneous machines equipped...
Abstract. This paper addresses the problem of porting distributed parallel applications to the Grid....
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
Computational grids and grid middleware offer unprecedented computational power and storage capacity...
Computational grids and grid middleware offer unprecedented computational power and storage capacity...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
We address the problem of porting parallel distributed applications from static homogeneous cluster ...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using grid systems comes from different strategies, among which partiti...
Abstract—Computational grids have the potential computing power for solving large-scale scientific c...