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Automatic Analysis of Bounded Resources for Embedded Systems

Objectif

The aims of this project are to identify, to quantify and to certify resource-bounded code in a domain-specific high-level programming language for real-time embedded systems. Using formal models of resource consumption as a basis, the project will develop static analyses for time and space consumption and assess these against realistic applications for embedded systems. The work is novel in combining analyses of both source and machine code into a single framework. The proposed research builds on world-class expertise in four complementary and active research areas: high-level resource prediction (LMU and St Andrews); precise costing of low-level hardware instructions (AbsInt); domain-specific languages and implementation (HWU and St Andrews); and the design and implementation of real-time embedded systems applications, in particular in the area of computer vision algorithms for autonomous vehicles (LASMEA and HWU). Embedded systems form an increasingly important part of the European, and indeed the global, software economy. The work is especially timely in building on newly emerging theoretical results in predicting resource usage, in exploiting state-of-the art cost models of embedded hardware and in utilising recent developments in computer vision algorithms for controlling autonomous vehicles. We anticipate that this project may have significant long-term impact, both in reducing the cost of developing complex embedded systems and in improving the quality of embedded code.

Appel à propositions

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Coordinateur

THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Contribution de l’UE
Aucune donnée
Adresse
NORTH HAUGH
KY16 9SS ST ANDREWS
Royaume-Uni

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Coût total
Aucune donnée

Participants (4)