Parallel Processor Configuration Design with Processing/Transmission Costs
IEEE Transactions on Computers
A Proposal for a Heterogeneous Cluster ScaLAPACK (Dense Linear Solvers)
IEEE Transactions on Computers
An Efficient Adaptive Scheduling Scheme for Distributed Memory Multicomputers
IEEE Transactions on Parallel and Distributed Systems
A Distributed Discrete-Time Neural Network Architecture for Pattern Allocation and Control
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Matrix-Matrix Multiplication on Heterogeneous Platforms
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Scheduling Strategies for Master-Slave Tasking on Heterogeneous Processor Platforms
IEEE Transactions on Parallel and Distributed Systems
The master-slave paradigm with heterogeneous processors
IEEE Transactions on Parallel and Distributed Systems
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Efficient task scheduling is an important issue on system performance of computational grid. In this paper, we present an efficient method for dispatching tasks to heterogeneous processors in master slave environment. The main idea of the proposed technique is first to allocate tasks to processors that with lower communication overheads. Improvement of this approach is that average turnaround time can be minimized. The proposed model can also be applied to map tasks to heterogeneous cluster systems in grid environments in which the communication costs are various from clusters.