Compact, adaptive placement schemes for non-uniform requirements
Proceedings of the fourteenth annual ACM symposium on Parallel algorithms and architectures
Filtering Random Graphs to Synthesize Interconnection Networks with Multiple Objectives
IEEE Transactions on Parallel and Distributed Systems
A universal performance factor for multi-criteria evaluation of multistage interconnection networks
Future Generation Computer Systems - Systems performance analysis and evaluation
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The interconnection network is a crucial element in parallel and distributed systems. Synthesizing networks that satisfy a set of desired properties, such as high reliability, low diameter and good scalability is a difficult problem to which there has been no completely satisfactory solution.In this paper, we present a new approach to network synthesis. We start by generating a large number of random regular networks. These networks are then passed through filters, which filter out networks that do not satisfy specified network design requirements. By applying multiple filters in tandem, it is possible to synthesize networks, which satisfy a multitude of properties. The filtered output thus constitutes a short-list of 驴good驴 networks that the designer can choose from. The use of random regular networks was motivated by their surprisingly good performance with regard to almost all properties that characterize a good interconnection network.Experimental results have shown that this approach is practical and powerful. In this paper, we focus on the generation of networks, which have low diameter, good scalability and high fault tolerance. These generated networks are shown to compare favorably with several well-known networks.