Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A twofold bio-inspired system for mitigating SEUs in the controllers of digital system deployed on FPGA
by
Deepanjali, S.
, Mahammad, S. K. Noor
in
Circuits
/ Compilers
/ Computer engineering
/ Computer Science
/ Controllers
/ Evolutionary algorithms
/ Evolvable hardware
/ Fault tolerance
/ Field programmable gate arrays
/ Genetic algorithms
/ Interpreters
/ Microprocessors
/ Organisms
/ Processor Architectures
/ Programming Languages
/ Reconfigurable hardware
/ Resource utilization
/ Single event upsets
/ Soft errors
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A twofold bio-inspired system for mitigating SEUs in the controllers of digital system deployed on FPGA
by
Deepanjali, S.
, Mahammad, S. K. Noor
in
Circuits
/ Compilers
/ Computer engineering
/ Computer Science
/ Controllers
/ Evolutionary algorithms
/ Evolvable hardware
/ Fault tolerance
/ Field programmable gate arrays
/ Genetic algorithms
/ Interpreters
/ Microprocessors
/ Organisms
/ Processor Architectures
/ Programming Languages
/ Reconfigurable hardware
/ Resource utilization
/ Single event upsets
/ Soft errors
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A twofold bio-inspired system for mitigating SEUs in the controllers of digital system deployed on FPGA
by
Deepanjali, S.
, Mahammad, S. K. Noor
in
Circuits
/ Compilers
/ Computer engineering
/ Computer Science
/ Controllers
/ Evolutionary algorithms
/ Evolvable hardware
/ Fault tolerance
/ Field programmable gate arrays
/ Genetic algorithms
/ Interpreters
/ Microprocessors
/ Organisms
/ Processor Architectures
/ Programming Languages
/ Reconfigurable hardware
/ Resource utilization
/ Single event upsets
/ Soft errors
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A twofold bio-inspired system for mitigating SEUs in the controllers of digital system deployed on FPGA
Journal Article
A twofold bio-inspired system for mitigating SEUs in the controllers of digital system deployed on FPGA
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Reconfigurable hardware, extensively employed in mission-critical digital applications like space and military electronics due to its adaptability, encounters the issue of soft errors, especially in control path elements, which could result in functional failure. Various system-level fault tolerance methodologies exist, and this paper implements a bio-inspired fault tolerance technique called evolvable hardware (EHW). The preferred implementation of the EHW system involves hosting the evolutionary algorithm on the processor alongside the reconfigurable hardware. However, this approach encounters delays in the intercommunication of the evolved circuit between the reconfigurable hardware and the processor. To address this issue, the paper proposes a two-tier architecture to achieve absolute fault mitigation in the controller. In this architecture, Tier-1 involves the digital implementation of the genetic algorithm on the reconfigurable hardware to mitigate errors in the controller, while Tier-2 focuses on mitigating errors occurring in Tier-1. The aim is to establish an absolute and self-resilient controller hardware to mitigate faults. The study simulates faults at the target circuit and genetic module as a proof of concept. The proposed two-tier single event upset (SEU) mitigation is deployed on Microsemi’s ProAsic3e FPGA (Field Programmable Gate Array), achieving an average efficiency of 91%. This efficiency is accompanied by ten times lesser resource utilization compared to traditional methodologies and a 30% accelerated speed when compared to hybrid evolvable systems.
Publisher
Springer US,Springer Nature B.V
Subject
This website uses cookies to ensure you get the best experience on our website.