TamaRISC-CS: An ultra-low-power application-specific processor for compressed sensing

Jeremy Constantin, Ahmed Dogan, Oskar Andersson, Pascal Meinerzhagen, Joachim Neves Rodrigues, David Atienza, Andreas Burg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Compressed sensing (CS) is a universal technique for the compression of sparse signals. CS has been widely used in sensing platforms where portable, autonomous devices have to operate for long periods of time with limited energy resources. Therefore, an ultra-low-power (ULP) CS implementation is vital for these kind of energy-limited systems. Sub-threshold (sub-VT) operation is commonly used for ULP computing, and can also be combined with CS. However, most established CS implementations can achieve either no or very limited benefit from sub-VT operation. Therefore, we propose a sub-VT application-specific instruction-set processor (ASIP), exploiting the specific operations of CS. Our results show that the proposed ASIP accomplishes 62x speed-up and 11.6x power savings with respect to an established CS implementation running on the baseline low-power processor.

Original languageEnglish
Title of host publication2012 IEEE/IFIP 20th International Conference on VLSI and System-on-Chip, VLSI-SoC 2012
PublisherIEEE Computer Society
Pages159-164
Number of pages6
ISBN (Electronic)9781467326582
DOIs
StatePublished - 18 Nov 2015
Externally publishedYes
EventIEEE/IFIP 20th International Conference on VLSI and System-on-Chip, VLSI-SoC 2012 - Santa Cruz, United States
Duration: 7 Oct 201210 Oct 2012

Publication series

NameIEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC
Volume07-10-October-2012
ISSN (Print)2324-8432
ISSN (Electronic)2324-8440

Conference

ConferenceIEEE/IFIP 20th International Conference on VLSI and System-on-Chip, VLSI-SoC 2012
Country/TerritoryUnited States
CitySanta Cruz
Period7/10/1210/10/12

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

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