Bisection (Band)Width of Product Networks with Application to Data Centers
Jordi Arjona Aroca, Antonio Fern\'andez Anta

TL;DR
This paper determines the exact bisection width of multidimensional torus networks and other product topologies, providing bounds for data center network designs, which is crucial for understanding their communication capacity.
Contribution
It presents the first exact calculation of the bisection width for multidimensional tori and offers general bounds for product graphs, including applications to data center topologies.
Findings
Exact bisection width of multidimensional torus obtained
Bounds for bisection bandwidth of BCube networks established
General results for product graph bisection width derived
Abstract
The bisection width of interconnection networks has always been important in parallel computing, since it bounds the amount of information that can be moved from one side of a network to another, i.e., the bisection bandwidth. Finding its exact value has proven to be challenging for some network families. For instance, the problem of finding the exact bisection width of the multidimensional torus was posed by Leighton and has remained open for almost 20 years. In this paper we provide the exact value of the bisection width of the torus, as well as of several d-dimensional classical parallel topologies that can be obtained by the application of the Cartesian product of graphs. To do so, we first provide two general results that allow to obtain upper and lower bounds on the bisection width of a product graph as a function of some properties of its factor graphs. We also apply these…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInterconnection Networks and Systems · Supercapacitor Materials and Fabrication · Parallel Computing and Optimization Techniques
