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.

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. - In: IEEE MICRO. - ISSN 0272-1732. - STAMPA. - 37:5(2017), pp. 8065010.20-8065010.31. [10.1109/MM.2017.3711645]

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

Rossi, Davide;Pullini, Antonio;Loi, Igor;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.
2017
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. - In: IEEE MICRO. - ISSN 0272-1732. - STAMPA. - 37:5(2017), pp. 8065010.20-8065010.31. [10.1109/MM.2017.3711645]
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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/624047
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