Performance Analysis of Minimal Adaptive Wormhole Routing with Time-Dependent Deadlock Recovery

  • Authors:
  • Fabrizio Petrini;Marco Vanneschi

  • Affiliations:
  • -;-

  • Venue:
  • IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
  • Year:
  • 1997

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Abstract

Deadlock recovery as a viable alternative to deadlock avoidance has recently gained an increasing consideration in the scientific community. In this paper we present a simple and efficient minimal adaptive wormhole routing algorithm that recovers from potential deadlocks. Rather than using a static or dynamic channel dependency graph, we remove from the network those packets that have stalled for more than a given timeout in a router. The experimental results, conducted on a 256 nodes bi-dimensional tones show that it is possible to find a timeout which is optimal for several communication patterns. Our algorithm provides good network latency, stable throughput above saturation and compares well with a deterministic and a minimal adaptive algorithm based on Duato's methodology with the same number of virtual channels.