Document Type

Conference Proceeding

Publication Date


Publication Title

Proceedings of the 26th Annual Symposium on Foundations of Computer Science



Publisher Name


Publisher Location

Portland, OR, USA, USA


Fat-trees are a class of routing networks for hardware-efficient parallel computation. This paper presents a randomized algorithm for routing messages on a fat-tree. The quality of the algorithm is measured in terms of the load factor of a set of messages to be routed, which is a lower bound on the time required to deliver the messages. We show that if a set of messages has load factor lambda on a fat-tree with n processors, the number of delivery cycles (routing attempts) that the algorithm requires is O(lambda+lgnlglgn) with probability 1-O(1/n). The best previous bound was O(lambdalgn) for the off-line problem in which the set of messages is known in advance. In the context of a VLSI model that equates hardware cost with physical volume, the routing algorithm can be used to demonstrate that fat-trees are universal routing networks. Specifically, we prove that any routing network can be efficiently simulated by a fat-tree of comparable hardware cost.


Author Posting. © 1985 IEEE. This is the author's version of the work. It is posted here for personal use, not for redistribution. The definitive version was published R. I. Greenberg and C. E. Leiserson, "Randomized routing on fat-tress," 26th Annual Symposium on Foundations of Computer Science (sfcs 1985), Portland, OR, USA, 1985, pp. 241-249. doi: 10.1109/SFCS.1985.46

A revised version can be found at

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

GreenbergL1985_slides.pdf (7955 kB)
Presentation slides from 26th FOCS conference

GreenbergL1985_expanded_slides.pdf (7774 kB)
Expanded version of slides from talk at MIT seminar shortly before conference

MITseminarnotice.PDF (25 kB)
MIT seminar notice