High-level Transformations using Canonical Dataflow Representation

Maciej Ciesielski (1) , Jeremie Guillot (2) , Daniel Gomez-Prado (1) , Emmanuel Boutillon (3)

1 Department of Electrical and Computer Engineering [Amherst]
2 LESTER - Laboratoire d'Electronique des Systèmes TEmps Réel
3 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)

This paper describes a systematic method and an experimental software system for high-level transformations of designs specified at behavioral level. The goal is to transform the initial design specifications into an optimized data flow graph (DFG) better suited for high-level synthesis. The optimizing transformations are based on a canonical Taylor Expansion Diagram (TED) representation, followed by structural transformations of the resulting DFG network. The system is intended for data-flow and computation-intensive designs used in computer graphics and digital signal processing applications.

Mots clés: TED; High level synthesis; canonical dataflow

Domaines: Electronique

Maciej Ciesielski, Jeremie Guillot, Daniel Gomez-Prado, Emmanuel Boutillon. High-level Transformations using Canonical Dataflow Representation. IEEE Design & Test, 2008, 26 (4), pp.46 - 57. ⟨hal-00348284⟩