Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
By Lori Cameron
 

Smart home automation icon on motherboard, future technology home remote control concept.

In the article “Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster,” (login may be required for full text) which appears in the September/October 2017 issue of IEEE Micro, the authors present 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.

 


 

About Lori Cameron

Lori Cameron is a Senior Writer for the IEEE Computer Society and currently writes regular features for Computer magazine, Computing Edge, and the Computing Now and Magazine Roundup websites. Contact her at l.cameron@computer.org. Follow her on LinkedIn.