Ocean-Atmosphere Modelization over the Grid

Abstract : In this report, we tackle the problem of scheduling an Ocean-Atmosphere application used for climate prediction on the grid. An experiment is composed of several 1D-meshes of identical DAGs composed of parallel tasks. To obtain a good completion time, we divide groups of processors into sets each working on parallel tasks. The group sizes are chosen by computing the best makespan for several grouping possibilities. We improved this heuristic method by different means. The improvement yielding to the best makespan is the representation of the problem as an instance of the Knapsack problem. As this heuristic is firstly designed for homogeneous platforms, we present its adaptation to heterogeneous platforms. Simulations show improvements of the makespan up to 12%.
Complete list of metadatas

Contributor : Ghislain Charrier <>
Submitted on : Tuesday, October 21, 2008 - 11:14:41 AM
Last modification on : Friday, April 26, 2019 - 1:35:48 AM


  • HAL Id : inria-00332571, version 1



Yves Caniou, Eddy Caron, Ghislain Charrier, Andréea Chis, Frédéric Desprez, et al.. Ocean-Atmosphere Modelization over the Grid. [Research Report] RR-6695, LIP RR-2008-26, INRIA, LIP. 2008, 2+13p. ⟨inria-00332571⟩



Record views


Files downloads