Abstract. In this work, we propose a method for self-organized adaptive task partitioning in a swarm of robots. Task partitioning refers to the decomposition of a task into less co...
Marco Frison, Nam-Luc Tran, Nadir Baiboun, Arne Br...
—In this paper, we present a new block budgeting algorithm which speeds up timing closure in timing driven hierarchical flows. After a brief description of the addressed flow, ...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a new iterative optimisation technique which both balances the workload and atte...
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...