Abstract
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.
Original language | English (US) |
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Title of host publication | Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 972-977 |
Number of pages | 6 |
ISBN (Electronic) | 9783981537093 |
DOIs | |
State | Published - May 11 2017 |
Event | 20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland Duration: Mar 27 2017 → Mar 31 2017 |
Publication series
Name | Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017 |
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Other
Other | 20th Design, Automation and Test in Europe, DATE 2017 |
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Country/Territory | Switzerland |
City | Swisstech, Lausanne |
Period | 3/27/17 → 3/31/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.