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.

Rossi, D., Pullini, A., Loi, I., Gautschi, M., Gurkaynak, F.K., Teman, A., et al. (2017). Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster. IEEE MICRO, 37(5), 20-31 [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
Rossi, D., Pullini, A., Loi, I., Gautschi, M., Gurkaynak, F.K., Teman, A., et al. (2017). Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster. IEEE MICRO, 37(5), 20-31 [10.1109/MM.2017.3711645].
Rossi, Davide; Pullini, Antonio; Loi, Igor; Gautschi, Michael; Gurkaynak, Frank Kagan; Teman, Adam; Constantin, Jeremy; Burg, Andreas; Miro-Panades, I...espandi
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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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