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Abstract

This paper studies timely dataflow, a model for data-parallel computing in which each communication event is associated with a virtual time. It defines and investigates the could-result-in relation which is central to this model, then the semantics of timely dataflow graphs.

Keywords

Partial Order Outgoing Edge Internal Edge Local History Back Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Martín Abadi
    • 1
    • 2
  • Michael Isard
    • 3
  1. 1.GoogleMountain ViewUSA
  2. 2.University of CaliforniaSanta CruzUSA
  3. 3.Microsoft ResearchMountain ViewUSA

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