Abstract
Wearable devices gain increasing popularity since they can collect important information for healthcare and well-being purposes. Compared with battery, energy harvesting is a better power source for these wearable devices due to many advantages. However, harvested energy is naturally unstable and program execution will be interrupted frequently. Nonvolatile processor (NVP) demonstrates promising advantages to back up volatile state before the system energy is depleted. Due to the backup and resumption procedures resulted from frequent power failures, non-volatile processor exhibits different characteristics from traditional processors, necessitating a set of adaptive design and optimization strategies. Recently, there have been both hardware and software researches aiming to develop correct and efficient non-volatile processors. In this paper, we summarize the software-level techniques for NVP, covering error-correctness schemes, backup timing determination, backup content optimization, adaptive software modifications and NVP simulators and tools, to provide an overview of state-of-the-art NVP research from the software and system level. © 2016 by IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509035618 |
| ISBN (Print) | 978-1-5090-3562-5 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 24th Annual IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2016) - Tallinn, Estonia Duration: 26 Sept 2016 → 28 Sept 2016 |
Publication series
| Name | |
|---|---|
| ISSN (Electronic) | 2324-8440 |
Conference
| Conference | 24th Annual IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2016) |
|---|---|
| Place | Estonia |
| City | Tallinn |
| Period | 26/09/16 → 28/09/16 |
Funding
This work is partially supported by The Fundamental Research Funds of Shandong University (No. 2016HW002), a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU 11214115), the PhD Start-up Fund of Natural Science Foundation of Guangdong Province, China (No. 2014A030310344), the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality (Project No. IDHT20150507), Beijing Advanced Innovation Center for Imaging Technology, National Natural Science Foundation of China (Project No. 61472260, 61402302 and 61502321).