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

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

IEEE Micro（2017）

引用 58|浏览79

暂无评分

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...

查看译文

关键词

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

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要