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Communication Dans Un Congrès Année : 2010

A new Approach for Minimizing Buffer Capacities with Throughput Constraint for Embedded System Design.

Résumé

The design of streaming (e.g. multimedia or network packet processing) applications must consider several optimizations such as the mimimization of the whole surface of the memory needed on a Chip. The minimum throughput of the output is usually fixed. In this paper, we present an original methodology to solve this problem. The application is modelled using a Marked Timed Weighted Event Graphs (in short MTWEG), which is a subclass of Petri nets. Transitions correspond to specific treatments and the places model buffers for data transfers. It is assumed that transitions are periodically fired with a fixed throughput. The problem is first mathematically modelled using an Integer Linear Program. We then study for a unique buffer the optimum throughput according to the capacity. A first polynomial simple algorithm computing the minimum surface for a fixed throughput is derived when there is no circuit in the initial MTWEG, which corresponds to a wide class of applications. We prove in this case that the capacities of every buffer may be optimized independently. For general MTWEG, the problem is NP-Hard and an original polynomial 2-approximation algorithm is presented. For practical applications, the solution computed is very close to the optimum.
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Dates et versions

hal-00368648 , version 1 (17-03-2009)

Identifiants

Citer

Mohamed Benazouz, Olivier Marchetti, Alix Munier-Kordon, Pascal Urard. A new Approach for Minimizing Buffer Capacities with Throughput Constraint for Embedded System Design.. AICCSA IEEE/ACS International Conference on Computer Systems and Applications, May 2010, Hammamet, Tunisia. pp.1-8, ⟨10.1109/AICCSA.2010.5586972⟩. ⟨hal-00368648⟩
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