DeSyRe: On-demand adaptive and reconfigurable fault-tolerant SoCs
Paper i proceeding, 2014

The DeSyRe project builds on-demand adaptive, reliable Systems-on-Chips. In response to the current semiconductor technology trends thatmake chips becoming less reliable, DeSyRe describes a newgeneration of by design reliable systems, at a reduced power and performance cost. This is achieved through the following main contributions. DeSyRe defines a fault-tolerant system architecture built out of unreliable components, rather than aiming at totally fault-free and hence more costly chips. In addition, DeSyRe systems are on-demand adaptive to various types and densities of faults, as well as to other system constraints and application requirements. For leveraging on-demand adaptation/customization and reliability at reduced cost, a new dynamically reconfigurable substrate is designed and combined with runtime system software support. The above define a generic and repeatable design framework, which is applied to two medical SoCs with high reliability constraints and diverse performance and power requirements. One of the main goals of the DeSyRe project is to increase the availability of SoC components in the presence of permanents faults, caused at manufacturing time or due to device aging. A mix of coarse- and fine-grain reconfigurable hardware substrate is designed to isolate and bypass faulty component parts. The flexibility provided by the DeSyRe reconfigurable substrate is exploited at runtime by system optimization heuristics,which decide tomodify component configurationwhen a permanent fault is detected, providing graceful degradation.

Författare

Ioannis Sourdis

Chalmers, Data- och informationsteknik, Datorteknik

C. Strydis

Neurasmus

A. Armato

YOGITECH

C. S. Bouganis

Imperial College London

B. Falsafi

Ecole Polytechnique Federale de Lausanne (EPFL)

Georgi Gaydadjiev

Chalmers, Data- och informationsteknik, Datorteknik

S. Isaza

Neurasmus

Alirad Malek

Chalmers, Data- och informationsteknik, Datorteknik

R. Mariani

YOGITECH

S.N. Pagliarini

University of Bristol

Dionisios N. Pnevmatikatos

Idryma Technologias kai Erevnas (FORTH)

D.K. Pradhan

University of Bristol

G.K. Rauwerda

Recore Systems Bv

R.M. Seepers

Neurasmus

R.A. Shafik

University of Bristol

G. Smaragdos

Neurasmus

D. Theodoropoulos

Idryma Technologias kai Erevnas (FORTH)

Stavros Tzilis

Chalmers, Data- och informationsteknik, Datorteknik

M. Vavouras

Imperial College London

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 8405 LNCS 312-317

Ämneskategorier

Datorteknik

Inbäddad systemteknik

Datorsystem

DOI

10.1007/978-3-319-05960-0_34

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Senast uppdaterat

2024-11-14