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research article
Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
2017
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.
Type
research article
Web of Science ID
WOS:000413024800004
Authors
Rossi, Davide
•
Pullini, Antonio
•
Loi, Igor
•
Gautschi, Michael
•
Gurkaynak, Frank Kagan
•
Teman, Adam
•
Constantin, Jeremy
•
•
Miro-Panades, Ivan
•
Beigne, Edith
Publication date
2017
Published in
Volume
37
Issue
5
Start page
20
End page
31
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
November 8, 2017
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