A Conservative Extension of Synchronous
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A Conservative Extension of Synchronous

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Description

A Conservative Extension of Synchronous Data-flow with State Machines Marc Pouzet LRI Journees FAC 15 – 16 mars 2007 Toulouse Joint work with Jean-Louis Colac¸o, Gregoire Hamon and Bruno Pagano 1

  • domain specific languages

  • language-based approach

  • specified systems

  • time scale

  • synchronous data


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Publié par
Publié le 01 mars 2007
Nombre de lectures 10
Langue English

Extrait

A Conservative Extension of Synchronous Data-flow with State Machines
Marc Pouzet LRI
Marc.Pouzet@lri.fr
Journe´esFAC 15 – 16 mars 2007 Toulouse
JointworkwithJean-LouisCola¸co,Gr´egoireHamonandBrunoPagano
1
A Bit of History
Arround 1984, several groups introduced domain-specific languages to program/design control embedded systems.
Lustre(Caspi & Halbwachs, Grenoble): data-flow (block diagram) formalisms with functional (deterministic) semantics;
Signal formalisms with data-flow(Benveniste & Le Guernic, Rennes): relational (non-deterministic) semantics to model also under-specified systems;
Esterel automata and process hierarchical(Berry & Gonthier, Sophia): algebra (and SCCS flavor)
All these languages were recognised to belong to the same family, sharing the same synchronous model of time.
2
The Synchronous Model of Time
a globallogicaltime scale shared by all the processes;
every event can be tagged according to this global time scale;
parallel processes all agree on the presence/absence of events during those instants;
parallel process do not fight for resources (as opposed to time-sharing concurrency):P||Qmeans thatPandQ(virtually) run in parallel;
this reconcile parallelism and determinism
maximal reaction timemaxnIN(tn
tn1)bound
3
Extension Needs for Synchronous Tools
Arround 1995, with Paul Caspi, we identified several “language” needs in synchronous tools
modularity (libraries), abstraction mechanisms
how to mix dataflow (e.g., Lustre) and control-flow (e.g., Esterel) in a unified way?
language-based approach (vs verification) in order to statically guaranty some properties at compile time: type and clock inference (mandatory in a graphical tool), absence of deadlocks, etc.
links with classical techniques from type theory (e.g., mathematical proof of programs, certification of a compiler)
4
The origins of Lucid Synchrone
What are the relationships between:
Kahn Process Networks
Synchronous Data-flow Programming (e.g., Lustre)
(Lazy) Functional Programming (e.g., Haskell)
Types and Clocks
State machines and stream functions
What can we learn from the relationships between synchronous and functional programming?
5
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