The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
This paper presents a sparse state saving scheme for Time Warp parallel discrete event simulation. The scheme bases the selection of the states to be recorded on the event history...
The goal of this paper is to perform a timing optimization of a circuit described by a network of cells on a target structure whose connection delays have discrete values following...
S. A. Senouci, A. Amoura, Helena Krupnova, Gabriel...
d abstract Philip M. Long Apostol I. Natsevy Je rey Scott Vittery We consider re-representing the alphabet so that a representation of a character re ects its properties as a pr...
Philip M. Long, Apostol Natsev, Jeffrey Scott Vitt...
In this paper we present AntNet, a novel adaptive approach to routing tables learning in packet-switched communications networks. AntNet is inspired by the stigmergy model of commu...