DeSyRe: On-demand adaptive and reconfigurable fault-tolerant SoCs

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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. © 2014 Springer International Publishing Switzerland.

Cite

CITATION STYLE

APA

Sourdis, I., Strydis, C., Armato, A., Bouganis, C. S., Falsafi, B., Gaydadjiev, G. N., … Vavouras, M. (2014). DeSyRe: On-demand adaptive and reconfigurable fault-tolerant SoCs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8405 LNCS, pp. 312–317). Springer Verlag. https://doi.org/10.1007/978-3-319-05960-0_34

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free