Bandwidth-optimal complete exchange on wormhole-routed 2D/3D torus networks: A diagonal-propagation approach

Yu Chee Tseng, Ting Hsien Lin, Sandeep K.S. Gupta, Dhabaleswar K. Panda

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


All-to-all personalized communication, or complete exchange, is at the heart of numerous applications in parallel computing. Several complete exchange algorithms have been proposed in the literature for wormhole meshes. However, these algorithms, when applied to tori, cannot take advantage of wrap-around interconnections to implement complete exchange with reduced latency. In this paper, a new diagonal-propagation approach is proposed to develop a set of complete exchange algorithms for 2D and 3D tori. This approach exploits the symmetric interconnections of tori and allows to develop a communication schedule consisting of several contention-free phases. These algorithms are indirect in nature and they use message combining to reduce the number of phases (message start-ups). It is shown that these algorithms effectively use the bisection bandwidth of a torus which is twice that for an equal sized mesh, to achieve complete exchange in time which is almost half of the best known complete exchange time on an equal sized mesh. The effectiveness of these algorithms is verified through simulation studies for varying system and technological parameters. It is also demonstrated that synchronous implementations of these algorithms (by introducing barriers between phases) lead to reduced latency for complete exchange with large messages, while the asynchronous ones are better for smaller messages.

Original languageEnglish (US)
Pages (from-to)380-396
Number of pages17
JournalIEEE Transactions on Parallel and Distributed Systems
Issue number4
StatePublished - 1997
Externally publishedYes


  • Collective communication
  • Complete exchange
  • Distributed memory systems
  • Interprocessor communication
  • Parallel computing
  • Torus
  • Wormhole routing

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics


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