By adapting to computations that are not so well supported by general-purpose processors, reconfigurable systems achieve significant increases in performance. Such computational sy...
Abstract -- This paper introduces a new HW/SW partitioning algorithm used in automating the instruction set processor design for pipelined ASIP (Application Specific Integrated Pro...
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Multicut is a fundamental network communication and connectivity problem. It is defined as: given an undirected graph and a collection of pairs of terminal vertices, find a minimu...
In this article we investigate a new variant of Variable Neighborhood Search (VNS): Relaxation Guided Variable Neighborhood Search. It is based on the general VNS scheme and a new...