Fat-Tree Routing for Transit

Abstract

As an alternative to using a bidelta network topology for large Transit networks, I consider the requirements to extend the base Transit network into Leiserson's Fat-Tree configuration. Transit will be a high-speed, low- latency, fault-tolerant network interconnection for high performance multi- processor computers. The initial interconnect scheme planned for Transit will use a bidelta style network to support up to 256 processors. Scaling beyond 256 processors by simply extending that network topology will result in a uniform degradation of network latency across processors. A fat-tree network structure will allow the Transit network to be scaled arbitrarily while taking advantage of the locality and universality of fat-trees to minimize the impact of scaling upon network latency. I consider the topology and construction issues for integrating the Transit routing network component and technology into a fat-tree configuration. I also characterize the resulting network's size, locality, and performance and compare these characteristics with those of bidelta networks.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA270886

Entities

People

  • AndrĂ© DeHon

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Channel Allocation
  • Channel Capacity
  • Computer Science
  • Computers
  • Computing System Architectures
  • Construction
  • Data Transmission
  • Fault Tolerance
  • Geometry
  • Network Topology
  • Optical Interconnects
  • Probabilistic Models
  • Probability
  • Three Dimensional
  • Topology

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Parallel and Distributed Computing.