Computer Science

Abstract Large scale InfiniBand clusters are becoming increasingly popular, as reflected by the TOP 500 supercomputer rankings. At the same time, fat tree has become a popular interconnection topology for these clusters, since it allows multiple paths to be available in ...

Many evolutionary algorithms have been studied to build and use a probability distribution model of the population for optimization problems. Most of these methods tried to represent explicitly the relationship between variables in the problem with factorization techniques or a graphical model such as Bayesian or Gaussian networks. Thus enormous computational cost is required for constructing those models when the

In this paper, we consider Starbucks stores in Korea, which have been spread most rapidly in the world, as an exemplary social network. We define two kinds of influence models and analyze the diffusive power of each node in a network. One is Dynamic Influence Model for time-varying diffusion analysis and the other is Static Influence Model for cumulative spreading

Peter R. Sutton*, Jay B. Brockrnan** and Stephen W. Director” ... *Departrnent of Electrical and Computer Engineering, **Department of Computer Science and Engineering, ... Abstract Many CAD frameworks now use the notion of a design $OW to help provide methodology ...

The current status of a research program at Carnegie-Mellon University aimed at the formulation of a hierarchical design methodology for digital VLSI circuits is described. In addition, this paper describes a set of computer aids which supports this methodology. One of the goals of this work is to provide a design environment which allows for a significant reduction in time