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

Andreas Peter Burg, Adam Shmuel Teman, Luca Benini, Jeremy Hugues-Felix Constantin
2017
Article

Résumé

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.

Source officielle

https://infoscience.epfl.ch/record/232350?ln=fr

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

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