Randomized Routing on Fat-Trees,

Abstract

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 = omega (lg n lg lg n) on a fat-tree with n processors, the number of delivery cycles (routing attempts) that the algorithm requires is o (lambda) with probability 1-0(1/n). The best previous bound was 0(lambda lg n) for the off-line problem where switch settings can be determined in advance. In a VLSI-like model where hardware cost is equated with physical volume, we use the routing algorithm to demonstrate that fat-trees are universal routing networks in the sense that any routing network can be efficiently simulated by a fat-tree of comparable hardware cost. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA166965

Entities

People

  • Charles E. Leiserson
  • Ronald I. Greenberg

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Channel Capacity
  • Computations
  • Computer Science
  • Computers
  • Congestion
  • Distributed Computing
  • Electrical Engineering
  • Iterations
  • Massachusetts
  • New York
  • Probability
  • Random Variables
  • Simulations
  • Statistical Distributions
  • Theory Of Computation
  • Trees (Data Structures)

Fields of Study

  • Computer science

Readers

  • Calculus or Mathematical Analysis
  • Computer Networking
  • Parallel and Distributed Computing.