The Odd-Even Turn Model for Adaptive Routing

  title={The Odd-Even Turn Model for Adaptive Routing},
  author={Ge-Ming Chiu},
  journal={IEEE Trans. Parallel Distrib. Syst.},
ÐThis paper presents a model for designing adaptive wormhole routing algorithms for meshes without virtual channels. The model restricts the locations where some turns can be taken so that deadlock is avoided. In comparison with previous methods, the degree of routing adaptiveness provided by the model is more even for different source-destination pairs. The mesh network may benefit from this feature in terms of communication efficiency. Simulation results show that the even adaptiveness… CONTINUE READING
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Showing 1-10 of 23 references

aAn Overview of the Intel TFLOPS Supercomputer,o

  • T. G. Mattson, G. Henry
  • Intel Technology J. vol
  • 1998
1 Excerpt

a A Theory of Fault - Tolerant Routing in Wormhole Networks

  • M. L. Fulgham, L. Snyder, C. J. Glass, L. M. Ni
  • 1997

Jayasimha, aOptimal Fully Adaptive Minimal Wormhole Routing for Meshes,o

  • D.N.L. Schwiebert
  • J. Parallel and Distributed Computing,
  • 1995
1 Excerpt

a Adaptive Deadlock - Free Routing in Multicomputers Using Only One Extra Virtual Channel

  • K. G. Shin
  • Int ' l Conf . Parallel Processing
  • 1995

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