Title
Application Specific Routing Algorithms for Networks on Chip
Abstract
In this paper we present a methodology to develop efficient and deadlock free routing algorithms for Network-on-Chip (NoC) platforms which are specialized for an application or a set of concurrent applications. The proposed methodology, called Application Specific Routing Algorithm (APSRA), exploits the application specific information regarding pairs of cores which communicate and other pairs which never communicate in the NoC platform to maximize communication adaptivity and performance. The methodology also exploits the known information regarding concurrency/non-concurrency of communication transactions among cores for the same purpose. We demonstrate, through analysis of adaptivity as well as simulation based evaluation of latency and throughput, that algorithms produced by the proposed methodology give significantly higher performance as compared to other deadlock free algorithms for both homogeneous as well as heterogeneous 2D mesh topology NoC systems. For example, for homogeneous mesh NoC, APSRA results in approximately 30% less average delay as compared to Odd-Even algorithm just below saturation load. Similarly the saturation load point for APSRA is significantly higher as compared to other adaptive routing algorithms for both homogeneous and non-homogeneous mesh networks.
Year
DOI
Venue
2009
10.1109/TPDS.2008.106
IEEE Trans. Parallel Distrib. Syst.
Keywords
Field
DocType
network topology,network-on-chip,2D mesh topology,adaptive routing algorithms,application specific routing algorithms,deadlock free routing algorithms,network-on-chip platforms,odd-even algorithm,I/O and Data Communications,Interconnections (Subsystems),Performance Analysis and Design Aids
Mesh networking,Algorithm design,Concurrency,Latency (engineering),Computer science,Parallel computing,Network on a chip,Network topology,Throughput,Concurrent computing,Distributed computing
Journal
Volume
Issue
ISSN
20
3
1045-9219
Citations 
PageRank 
References 
75
2.57
43
Authors
4
Name
Order
Citations
PageRank
Maurizio Palesi1111978.82
Rickard Holsmark224913.10
Shashi Kumar328216.58
Vincenzo Catania482370.93