Title
On Spectral Bounds for the k-Partitioning of Graphs
Abstract
When executing processes on parallel computer systems a major bottleneck is interprocessor communication. One way to address this problem is to minimize the communication between processes that are mapped to different processors. This translates to the k-partitioning problem of the corresponding process graph, where k is the number of processors. The classical spectral lower bound of (\V\/2k) Sigma(i=1)(k)lambda(i) for the k-section width of a graph is well known. We show new relations between the structure and the eigenvalues of a graph and present a new method to get tighter lower bounds on the k-section width. This method makes use of the level structure defined by the k-section. We define a global expansion property and prove that for graphs with the same k-section width the spectral lower bound increases with this global expansion. We also present examples of graphs for which our new bounds are tight up to a constant factor.
Year
DOI
Venue
2003
10.1007/s00224-003-1083-9
THEORY OF COMPUTING SYSTEMS
Keywords
Field
DocType
lower bound,parallel computer
Adjacency matrix,Discrete mathematics,Graph,Process graph,Combinatorics,Line graph,Upper and lower bounds,Level structure,Pathwidth,Mathematics,Eigenvalues and eigenvectors
Journal
Volume
Issue
ISSN
36.0
5
1432-4350
Citations 
PageRank 
References 
1
0.40
11
Authors
3
Name
Order
Citations
PageRank
Robert Elsässer1706.04
Thomas Lücking235328.79
Burkhard Monien32199279.35