Reliable state retention-based embedded processors through monitoring and recovery
Yang, Sheng, Khursheed, Syed Saqib, Al-Hashimi, Bashir, Flynn, David and Idgunji, Sachin (2011) Reliable state retention-based embedded processors through monitoring and recovery. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 30, (12), 1773-1785 .
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Description/Abstract
State retention power gating and voltage-scaled state retention are two effective design techniques, commonly employed in embedded processors, for reducing idle circuit leakage power. This paper presents a methodology for improving the reliability of embedded processors in the presence of power supply noise and soft errors. A key feature of the method is low cost, which is achieved through reuse of the scan chain for state monitoring, and it is effective because it can correct single and multiple bit errors through hardware and software respectively. To validate the methodology, ARM Cortex-M0 embedded microprocessor (provided by our industrial project partner) is implemented in FPGA and further synthesized using 65-nm technology to quantify the cost in terms of area, latency and energy. It is shown that the proposed methodology has a small area overhead (8.6%) with less than 4% worst-case increase in critical path and is capable of detecting and correcting both single bit and multi bit errors for a wide range of fault rates.
| Item Type: | Article |
|---|---|
| ISSNs: | 0278-0070 (print) 1937-4151 (electronic) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Electronic & Software Systems |
| Item ID: | 272714 |
| Date Deposited: | 24 Aug 2011 16:53 |
| Last Modified: | 26 Apr 2013 05:15 |
| Contributors: | Yang, Sheng (Author) Khursheed, Syed Saqib (Author) Al-Hashimi, Bashir (Author) Flynn, David (Author) Idgunji, Sachin (Author) |
| Funder: | EPSRC |
| Date: | 24 August 2011 |
| Status: | Published |
| Publisher: | IEEE |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/272714 |
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