193 MOPS/mW @ 162 MOPS, 0.32V to 1.15V voltage range multi-core accelerator for energy efficient parallel and sequential digital processing

Davide Rossi, Antonio Pullini, Igor Loi, Michael Gautschi, Frank Kagan Gurkaynak, Adam Teman, Jeremy Constantin, Andreas Burg, Ivan Miro-Panades, Edith Beign, Fabien Clermidy, Fady Abouzeid, Philippe Flatresse, Luca Benini

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

23 Scopus citations

Abstract

Low power (mW) and high performance (GOPS) are strong requirements for compute-intensive signal processing in E-health, Internet-of-Things, and wearable applications. This work presents a building block for programmable Ultra-Low Power accelerators, namely a tightly-coupled computing cluster that supports parallel and sequential execution at high energy efficiency over a wide range of workload requirements. The cluster, implemented in 28nm UTBB FD-SOI technology, achieves peak energy efficiency in the near-threshold (NVT) operating region: 193 MOPS/mW at 162 MOPS for parallel workloads, and 90 MOPS/mW at 68 MOPS for sequential workloads at 0.46V and 0.5V, respectively. The energy efficient operating range is wide (0.32V to 1.15V), also meeting the design goal of 1 GOPS within a 10 mW power envelope (at 0.66V).

Original languageEnglish
Title of host publication19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013869
DOIs
StatePublished - 5 Jul 2016
Event19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Yokohama, Japan
Duration: 20 Apr 201622 Apr 2016

Publication series

Name19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Proceedings

Conference

Conference19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016
Country/TerritoryJapan
CityYokohama
Period20/04/1622/04/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Body Biasing
  • Energy Efficiency
  • Parallel Processing
  • Power Management
  • UTBB FD-SOI

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