Criticality-aware scrubbing mechanism for SRAM-based FPGAs

Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar
{"title":"Criticality-aware scrubbing mechanism for SRAM-based FPGAs","authors":"Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar","doi":"10.1109/FPL.2014.6927476","DOIUrl":null,"url":null,"abstract":"Scrubbing has been considered as an effective mechanism to provide fault-tolerance in Static-RAM (SRAM)-based Field Programmable Gate Arrays (FPGAs). However, the current scrubbing techniques execute without considering the criticality and timing of the user tasks implemented in the FPGA. They often do not execute the scrubbing process in the right instant, which minimizes the probability of each task being executed without transient faults. Moreover, these current solutions are not adapted to the tasks' fault-tolerance requirements, since they may not properly protect the most critical tasks in the system. However, if they do it, they waste resources with the less critical tasks. In this paper, a new scrubbing mechanism is proposed. This new approach adapts the scrubbing mechanism to the tasks' execution, by a proper scheduling and according to their criticality. A proposed heuristic finds a feasible scrubbing schedule for each hardware task. Firstly, the minimum scrubbing periods are computed according to the criticality of each implemented hardware task. Secondly, a proper scrubbing schedule following the EDL (Earliest Deadline as Late as possible) algorithm is found, maximizing the reliability of the system. The experimental results show up to 79% improvements on the system reliability, achieved without wasting scrubbing resources.","PeriodicalId":172795,"journal":{"name":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPL.2014.6927476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

Abstract

Scrubbing has been considered as an effective mechanism to provide fault-tolerance in Static-RAM (SRAM)-based Field Programmable Gate Arrays (FPGAs). However, the current scrubbing techniques execute without considering the criticality and timing of the user tasks implemented in the FPGA. They often do not execute the scrubbing process in the right instant, which minimizes the probability of each task being executed without transient faults. Moreover, these current solutions are not adapted to the tasks' fault-tolerance requirements, since they may not properly protect the most critical tasks in the system. However, if they do it, they waste resources with the less critical tasks. In this paper, a new scrubbing mechanism is proposed. This new approach adapts the scrubbing mechanism to the tasks' execution, by a proper scheduling and according to their criticality. A proposed heuristic finds a feasible scrubbing schedule for each hardware task. Firstly, the minimum scrubbing periods are computed according to the criticality of each implemented hardware task. Secondly, a proper scrubbing schedule following the EDL (Earliest Deadline as Late as possible) algorithm is found, maximizing the reliability of the system. The experimental results show up to 79% improvements on the system reliability, achieved without wasting scrubbing resources.
基于sram的fpga的临界感知擦洗机制
擦洗被认为是基于静态ram (SRAM)的现场可编程门阵列(fpga)提供容错的有效机制。然而,当前的清洗技术在执行时没有考虑FPGA中实现的用户任务的重要性和时序。它们通常不会在正确的时刻执行清洗过程,这将最小化每个任务在没有瞬时故障的情况下执行的可能性。此外,这些当前的解决方案不能适应任务的容错需求,因为它们可能不能正确地保护系统中最关键的任务。然而,如果他们这样做,他们就会把资源浪费在不那么重要的任务上。本文提出了一种新的洗涤机理。这种新方法通过适当的调度和根据任务的关键程度,使擦洗机制适应任务的执行。提出了一种启发式算法,为每个硬件任务找到一个可行的清洗计划。首先,根据所实现硬件任务的临界度计算最小清洗周期;其次,根据EDL (early Deadline as Late as possible)算法找到合适的擦洗计划,最大限度地提高系统的可靠性。实验结果表明,在不浪费洗涤资源的情况下,系统可靠性提高了79%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信