Advanced spintronic memory and logic for non-volatile processors

Many ultra-low power Internet of things (IoT) systems may be powered by energy harvested from ambient sources (e.g., solar radiation, thermal gradients, and WiFi). However, these energy sources can vary significantly in terms of their strengths and on/off patterns. For volatile systems, the intermit...

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Bibliographic Details
Published inDesign, Automation & Test in Europe Conference & Exhibition (DATE), 2017 pp. 972 - 977
Main Authors Perricone, Robert, Ahmed, Ibrahim, Zhaoxin Liang, Mankalale, Meghna G., Hu, X. Sharon, Kim, Chris H., Niemier, Michael, Sapatnekar, Sachin S., Jian-Ping Wang
Format Conference Proceeding
LanguageEnglish
Published EDAA 01.03.2017
Subjects
Logic gates
Magnetic domain walls
Magnetic tunneling
Program processors
Spintronics
Wireless fidelity
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Summary:Many ultra-low power Internet of things (IoT) systems may be powered by energy harvested from ambient sources (e.g., solar radiation, thermal gradients, and WiFi). However, these energy sources can vary significantly in terms of their strengths and on/off patterns. For volatile systems, the intermittent nature of the energy sources necessitates the use of backup/recovery schemes to guarantee computational correctness and forward progress, which incur performance, area and energy overhead. Non-volatile (NV) processors based on spintronic devices, such as Spin-Transfer Torque (STT) memory and All-Spin-Logic (ASL), are more attractive alternatives. These NV devices are capable of achieving forward progress without relying on backup/recovery schemes. This work establishes a general framework for evaluating NV device-based processors for energy harvesting applications. Results demonstrate that NV spintronic processors can achieve significant energy savings (up to 83 x) versus a hybrid CMOS (computation) and STT-RAM (backup) implementation.
ISSN:1558-1101
DOI:10.23919/DATE.2017.7927132