Add to ORKGIt has been observed that many networks arising in practice have skewed node degree distributions. Scale-free networks are one well-known class of such networks. Achieving efficient parallel simulation of scale-free networks is challenging because large-degree nodes can create bottlenecks that limit performance. To help address this problem, we describe an approach called link partitioning where each network link is mapped to a logical process in contrast to the conventional approach of mapping each node to a logical process.M.S
The Performance of a parallel algorithm depends in part on how the interconnection topology of the t...
speedup As the scale of parallel machine grows, communication network is playing more important role...
Abstract—Processing large complex networks like social net-works or web graphs has recently attracte...
It has been observed that many networks arising in practice have skewed node degree distributions. S...
Evolution and structure of very large networks has attracted considerable attention in recent years....
Abstract. In recent years, requirements for performance evaluation techniques of a large-scale netwo...
The benefits of distributing a network simulation depend on characteristics of the simulated network...
Abstract—Random networks are widely used for modeling and analyzing complex processes. Many mathemat...
A novel parallel algorithm is presented for generating random scale-free networks using the preferen...
In this paper, we present a new simulation tool for scale-free networks composed of a high number of...
Abstract. Random networks are widely used for modeling and analyz-ing complex processes. Many mathem...
Scale-free networks are a recently developed approach to modeling the interactions found in complex ...
Recently, there has been substantial interest in the study of various random networks as mathematica...
Computing the average shortest-path length of a large scale-free network needs much memory space and...
We developed analogous parallel algorithms to implement CostRank for distributed memory parallel com...
The Performance of a parallel algorithm depends in part on how the interconnection topology of the t...
speedup As the scale of parallel machine grows, communication network is playing more important role...
Abstract—Processing large complex networks like social net-works or web graphs has recently attracte...
It has been observed that many networks arising in practice have skewed node degree distributions. S...
Evolution and structure of very large networks has attracted considerable attention in recent years....
Abstract. In recent years, requirements for performance evaluation techniques of a large-scale netwo...
The benefits of distributing a network simulation depend on characteristics of the simulated network...
Abstract—Random networks are widely used for modeling and analyzing complex processes. Many mathemat...
A novel parallel algorithm is presented for generating random scale-free networks using the preferen...
In this paper, we present a new simulation tool for scale-free networks composed of a high number of...
Abstract. Random networks are widely used for modeling and analyz-ing complex processes. Many mathem...
Scale-free networks are a recently developed approach to modeling the interactions found in complex ...
Recently, there has been substantial interest in the study of various random networks as mathematica...
Computing the average shortest-path length of a large scale-free network needs much memory space and...
We developed analogous parallel algorithms to implement CostRank for distributed memory parallel com...
The Performance of a parallel algorithm depends in part on how the interconnection topology of the t...
speedup As the scale of parallel machine grows, communication network is playing more important role...
Abstract—Processing large complex networks like social net-works or web graphs has recently attracte...