An Ultra-Low-Power Application-Specific Processor with Sub-VT Memories for Compressed Sensing

Abstract : Compressed sensing (CS) is a universal low-complexity data compression technique for signals that have a sparse representation in some domain. While CS data compression can be done both in the analog- and digital domain, digital implementations are often used on low-power sensor nodes, where an ultra-low-power (ULP) processor carries out the algorithm on Nyquist-rate sampled data. In such systems an energy-efficient implementation of the CS compression kernel is a vital ingredient to maximize battery lifetime. In this paper, we propose an application-specific instruction-set processor (ASIP) processor that has been optimized for CS data compression and for operation in the subthreshold (sub-VT) regime. The design is equipped with specific sub-VT capable standard-cell based memories, to enable low-voltage operation with low leakage. Our results show that the proposed ASIP accomplishes 62× speed-up and 11.6× power savings with respect to a straightforward CS implementation running on the baseline low-power processor without instruction set extensions.
Type de document :
Communication dans un congrès
Andreas Burg; Ayse Coskun; Matthew Guthaus; Srinivas Katkoori; Ricardo Reis. 20th International Conference on Very Large Scale Integration (VLSI-SoC), Aug 2012, Santa Cruz, CA, United States. Springer, IFIP Advances in Information and Communication Technology, AICT-418, pp.88-106, 2013, VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design. 〈10.1007/978-3-642-45073-0_5〉
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01456963
Contributeur : Hal Ifip <>
Soumis le : lundi 6 février 2017 - 10:33:41
Dernière modification le : vendredi 1 décembre 2017 - 01:16:00
Document(s) archivé(s) le : dimanche 7 mai 2017 - 12:40:52

Fichier

978-3-642-45073-0_5_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Jeremy Constantin, Ahmed Dogan, Oskar Andersson, Pascal Meinerzhagen, Joachim Rodrigues, et al.. An Ultra-Low-Power Application-Specific Processor with Sub-VT Memories for Compressed Sensing. Andreas Burg; Ayse Coskun; Matthew Guthaus; Srinivas Katkoori; Ricardo Reis. 20th International Conference on Very Large Scale Integration (VLSI-SoC), Aug 2012, Santa Cruz, CA, United States. Springer, IFIP Advances in Information and Communication Technology, AICT-418, pp.88-106, 2013, VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design. 〈10.1007/978-3-642-45073-0_5〉. 〈hal-01456963〉

Partager

Métriques

Consultations de la notice

67

Téléchargements de fichiers

49