Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
Rossi, Davide; Pullini, Antonio; Loi, Igor; Gautschi, Michael; Gurkaynak, Frank Kagan; Teman, Adam; Constantin, Jeremy; Burg, Andreas; Miro-Panades, Ivan; Beigne, Edith; Clermidy, Fabien; Flatresse, Philippe; Benini, Luca
2017

Abstract

This article presents an ultra-low-power parallel computing platform and its system-on-chip (SoC) embodiment, targeting a wide range of emerging near-sensor processing tasks for Internet of Things (IoT) applications. The proposed SoC achieves 193 million operations per second (MOPS) per mW at 162 MOPS (32 bits), improving the first-generation Parallel Ultra-Low-Power (PULP) architecture by 6.4 and 3.2 times in performance and energy efficiency, respectively.

Details

Title Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
Author(s) Rossi, Davide ; Pullini, Antonio ; Loi, Igor ; Gautschi, Michael ; Gurkaynak, Frank Kagan ; Teman, Adam ; Constantin, Jeremy ; Burg, Andreas ; Miro-Panades, Ivan ; Beigne, Edith ; Clermidy, Fabien ; Flatresse, Philippe ; Benini, Luca
Published in Ieee Micro
Pagination 12
Volume 37
Issue 5
Pages 20-31
Date 2017
Publisher Los Alamitos, Institute of Electrical and Electronics Engineers
ISSN 0272-1732
DOI https://doi.org/10.1109/MM.2017.3711645
Other identifier(s) View record in Web of Science
Laboratories TCL
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > TCL - Telecommunications Circuits Laboratory
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date 2017-11-08