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Kahn-extended Event Graphs

Authors
  • Boucaron, Julien
  • Coadou, Anthony
  • Ferrero, Benoît
  • Millo, Jean-Vivien
  • De Simone, Robert
Publication Date
Jan 01, 2008
Source
Hal-Diderot
Keywords
Language
English
License
Unknown
External links

Abstract

Process Networks have long been used as formal Models of Computation in the design of dedicated hardware and software embedded systems and Systems-on-Chip. Choice-less models such as Marked/Event Graphs and their Synchronous Data Flow extensions have been considered to support periodic scheduling analysis. Those models do not hide dependency informations like regular sequential languages: they capture the communication topology through point-to-point channels. Those models are concurrent, formally defined, have a clear semantic but are limited due to static point-to-point channels. Then, further extensions such as Cyclo-Static Data Flow or Boolean-controlled Dataflow (BDF) graphs introduced routing switches, allowing internal choices while preserving conflict-freeness, in the tradition of Kahn Process Networks. We introduce a new model, which we term Kahn-extended Event Graphs (KEG). It can be seen as a specialization of both Cyclo-Static and BDF processes. It consists merely in the addition of Merge/Select routing nodes to former Marked/Event Graphs; but, most importantly, these new nodes are governed by explicit (ultimately periodic) binary-word switching patterns for routing directions. We introduce identities on Merge/Select expressions, and show how they build a full axiomatization for the flow-equivalence between the computation nodes. The transformations carry a strong intuitive meaning, as they correspond to sharing/unsharing the interconnect links. Such interconnect defines each time a precise Network-on-Chip topology, and the switching patterns drive the traffic. One can also compute the buffering space actually required at the various fifo locations. The example of a Sobel edge filter is discussed to illustrate the importance of this model.

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