Approximate algorithms scheduling parallelizable tasks
SPAA '92 Proceedings of the fourth annual ACM symposium on Parallel algorithms and architectures
Parallel ocean general circulation modeling
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
Parallel Computing - Special issue: climate and weather modeling
Parallel Computing - Special issue on applications: parallel computing in regional weather modeling
DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors
IEEE Transactions on Parallel and Distributed Systems
Efficient approximation algorithms for scheduling malleable tasks
Proceedings of the eleventh annual ACM symposium on Parallel algorithms and architectures
Scheduling on hierarchical clusters using malleable tasks
Proceedings of the thirteenth annual ACM symposium on Parallel algorithms and architectures
Scheduling Parallel Applications Using Malleable Tasks on Clusters
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Approximation Algorithms for Scheduling Malleable Tasks under Precedence Constraints
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
Scheduling malleable tasks with precedence constraints
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures
An approximation algorithm for scheduling malleable tasks under general precedence constraints
ACM Transactions on Algorithms (TALG)
Scheduling malleable tasks with precedence constraints
Journal of Computer and System Sciences
An approximation algorithm for scheduling malleable tasks under general precedence constraints
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
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This paper reports the parallel implementation of adaptive mesh refinement within finite difference ocean circulation models. The implementation is based on the model of Malleable Tasks with inefficiency factor which allows a simple expression of the different levels of parallelism with a good efficiency. Our goal within this work was to validate this approach on an actual application. For that, we have implemented a load-balancing strategy based on the well-known level-by-level mapping. Preliminary experiments are discussed at the end of the paper.