Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
We study alternatives to FM-based partitioning in the context of end-case processing for top-down standard-cell placement. The primary motivation is that small partitioning instan...
Andrew E. Caldwell, Andrew B. Kahng, Igor L. Marko...
- Partitioning unstructured graphs is central to the parallel solution of computational science and engineering problems. Spectral partitioners, such recursive spectral bisection (...
semantic knowledge all concurrent partitionedAbstract updates to an object must be treated as conflicting, andOptimistic replication is an important technique for merged manually b...
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...