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research article

Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster

Rossi, Davide
•
Pullini, Antonio
•
Loi, Igor
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2017
Ieee Micro

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.

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Type
research article
DOI
10.1109/MM.2017.3711645
Web of Science ID

WOS:000413024800004

Author(s)
Rossi, Davide
Pullini, Antonio
Loi, Igor
Gautschi, Michael
Gurkaynak, Frank Kagan
Teman, Adam
Constantin, Jeremy
Burg, Andreas  
Miro-Panades, Ivan
Beigne, Edith
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Date Issued

2017

Publisher

Institute of Electrical and Electronics Engineers

Published in
Ieee Micro
Volume

37

Issue

5

Start page

20

End page

31

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TCL  
Available on Infoscience
November 8, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/142071
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