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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

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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