Title
Randomly Optimized Grid Graph for Low-Latency Interconnection Networks
Abstract
In this work we present randomly optimized grid graphs that maximize the performance measure, such as diameter and average shortest path length (ASPL), with subject to limited edge length on a grid surface. We also provide theoretical lower bounds of the diameter and the ASPL, which prove optimality of our randomly optimized grid graphs. We further present a diagonal grid layout that significantly reduces the diameter compared to the conventional one under the edge-length limitation. We finally show their applications to three case studies of off-and on-chip interconnection networks. Our design efficiently improves their performance measures, such as end-to-end communication latency, network power consumption, cost, and execution time of parallel benchmarks.
Year
DOI
Venue
2016
10.1109/ICPP.2016.46
2016 45th International Conference on Parallel Processing (ICPP)
Keywords
Field
DocType
Network,Graph Theory
Graph theory,Average path length,Shortest path problem,Computer science,Grid network,Parallel computing,Network topology,Latency (engineering),Lattice graph,Grid,Distributed computing
Conference
ISSN
ISBN
Citations 
0190-3918
978-1-5090-2824-5
5
PageRank 
References 
Authors
0.47
11
6
Name
Order
Citations
PageRank
Koji Nakano11165118.13
Daisuke Takafuji2316.12
Satoshi Fujita34618.99
Hiroki Matsutani457662.07
Ikki Fujiwara512716.00
Michihiro Koibuchi672674.68