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Portable and Predictable Performance on Heterogene.. (PaPP)
Portable and Predictable Performance on Heterogeneous Embedded Manycores
(PaPP)
Date du début: 1 sept. 2012,
Date de fin: 31 oct. 2015
PROJET
TERMINÉ
Modern advanced products of today use embedded computing systems with exacting requirements on execution speed, timeliness, and power consumption. It is a grand challenge to guarantee these requirements across product families and in the face of rapid technological evolution, as current development practices cannot manage performance requirements the same way they manage functional requirements.Even worse, with the proliferation of complex parallel target platforms, it becomes more difficult to design a system that reaches a given performance goal with just the minimum amount of resources, managed right. Today the only solution to this problem is to over-design systems: systems are equipped pragmatically with an overcapacity that likely avoids under-performance, but for this very reason are more expensive and consume more resources than necessary.The proposed project aims at making performance predictable in every development phase, from the modelling of the system, over its implementation, to its execution by allowing for early specification and analysis of performance of systems, its adaptation to different hardware platforms, including an adaptive runtime system. During the project, the developed methods and tools will be evaluated on a number of industrial use cases and demonstrators in three application domains important to European industry: Multimedia, Avionics and space, and Mobile communication. This approach will guarantee that the methods and tools developed are both usable and effective.To achieve our goals we have built a highly skilled European consortium consisting of a balanced mix of problem owners, domain experts, and technology providers: large enterprises as application drivers, platform providers and system integrators, SME’s as key-technology innovators, and research institutes and universities bringing leading edge perspectives.APPROVED BY ARTEMIS JU on 23/06/2015(please consult the note on p2 of part B)
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