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

Davide Rossi,Antonio Pullini,Igor Loi,Michael Gautschi,Frank Kagan Gurkaynak,Adam Teman,Jeremy Constantin,Andreas Burg,Ivan Miro-Panades,Edith Beigne,Fabien Clermidy,Philippe Flatresse,Luca Benini

IEEE Micro（2017）SCI 3区

University of Bologna

被引用58|浏览102

摘要

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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关键词

Random access memory,Energy efficiency,Memory management,System-on-chip,Low power electronics,Reduced instruction set computing,Power system management

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