Area-driven partial reconfiguration for SEU mitigation on SRAM-based FPGAs
File(s)ReConFig_2016_paper_46.pdf (270.83 KB)
Accepted version
Author(s)
Vavouras, M
Bouganis, C-S
Type
Conference Paper
Abstract
This paper presents an area-driven Field-Programmable Gate Array (FPGA) scrubbing technique based on partial reconfiguration for Single Event Upset (SEU) mitigation. The proposed method is compared with existing techniques such as blind and on-demand scrubbing on a novel SEU mitigation framework implemented on the ZYNQ platform, supporting various SEU and scrubbing rates. A design space exploration on the availability versus data transfers from a Double Data Rate Type 3 (DDR3) memory, shows that our approach outperforms blind scrubbing for a range of availability values when a second order polynomial IP is targeted. A comparison to an existing on-demand scrubbing technique based on Dual Modular Redundancy (DMR) shows that our approach saves up to 46% area for the same case study.
Editor(s)
Athanas, P
Cumplido, R
Feregrino, C
Sass, R
Date Issued
2017-02-16
Date Acceptance
2016-11-30
Citation
ReConFigurable Computing and FPGAs (ReConFig), 2016 International Conference on, 2017
ISSN
2325-6532
Publisher
IEEE
Journal / Book Title
ReConFigurable Computing and FPGAs (ReConFig), 2016 International Conference on
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400775800012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
287611
Source
International Conference on Reconfigurable Computing and FPGAs (ReConFig)
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science
Publication Status
Published
Start Date
2016-11-30
Finish Date
2016-12-02
Coverage Spatial
Cancun, Mexico