---
_id: '17092'
abstract:
- lang: eng
  text: <jats:p>Radiation tolerance in FPGAs is an important field of research particularly
    for reliable computation in electronics used in aerospace and satellite missions.
    The motivation behind this research is the degradation of reliability in FPGA
    hardware due to single-event effects caused by radiation particles. Redundancy
    is a commonly used technique to enhance the fault-tolerance capability of radiation-sensitive
    applications. However, redundancy comes with an overhead in terms of excessive
    area consumption, latency, and power dissipation. Moreover, the redundant circuit
    implementations vary in structure and resource usage with the redundancy insertion
    algorithms as well as number of used redundant stages. The radiation environment
    varies during the operation time span of the mission depending on the orbit and
    space weather conditions. Therefore, the overheads due to redundancy should also
    be optimized at run-time with respect to the current radiation level. In this
    paper, we propose a technique called Dynamic Reliability Management (DRM) that
    utilizes the radiation data, interprets it, selects a suitable redundancy level,
    and performs the run-time reconfiguration, thus varying the reliability levels
    of the target computation modules. DRM is composed of two parts. The design-time
    tool flow of DRM generates a library of various redundant implementations of the
    circuit with different magnitudes of performance factors. The run-time tool flow,
    while utilizing the radiation/error-rate data, selects a required redundancy level
    and reconfigures the computation module with the corresponding redundant implementation.
    Both parts of DRM have been verified by experimentation on various benchmarks.
    The most significant finding we have from this experimentation is that the performance
    can be scaled multiple times by using partial reconfiguration feature of DRM,
    e.g., 7.7 and 3.7 times better performance results obtained for our data sorter
    and matrix multiplier case studies compared with static reliability management
    techniques. Therefore, DRM allows for maintaining a suitable trade-off between
    computation reliability and performance overhead during run-time of an application.</jats:p>
author:
- first_name: Jahanzeb
  full_name: Anwer, Jahanzeb
  last_name: Anwer
- first_name: Sebastian
  full_name: Meisner, Sebastian
  last_name: Meisner
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
citation:
  ama: Anwer J, Meisner S, Platzner M. Dynamic Reliability Management for FPGA-Based
    Systems. <i>International Journal of Reconfigurable Computing</i>. 2020:1-19.
    doi:<a href="https://doi.org/10.1155/2020/2808710">10.1155/2020/2808710</a>
  apa: Anwer, J., Meisner, S., &#38; Platzner, M. (2020). Dynamic Reliability Management
    for FPGA-Based Systems. <i>International Journal of Reconfigurable Computing</i>,
    1–19. <a href="https://doi.org/10.1155/2020/2808710">https://doi.org/10.1155/2020/2808710</a>
  bibtex: '@article{Anwer_Meisner_Platzner_2020, title={Dynamic Reliability Management
    for FPGA-Based Systems}, DOI={<a href="https://doi.org/10.1155/2020/2808710">10.1155/2020/2808710</a>},
    journal={International Journal of Reconfigurable Computing}, author={Anwer, Jahanzeb
    and Meisner, Sebastian and Platzner, Marco}, year={2020}, pages={1–19} }'
  chicago: Anwer, Jahanzeb, Sebastian Meisner, and Marco Platzner. “Dynamic Reliability
    Management for FPGA-Based Systems.” <i>International Journal of Reconfigurable
    Computing</i>, 2020, 1–19. <a href="https://doi.org/10.1155/2020/2808710">https://doi.org/10.1155/2020/2808710</a>.
  ieee: J. Anwer, S. Meisner, and M. Platzner, “Dynamic Reliability Management for
    FPGA-Based Systems,” <i>International Journal of Reconfigurable Computing</i>,
    pp. 1–19, 2020.
  mla: Anwer, Jahanzeb, et al. “Dynamic Reliability Management for FPGA-Based Systems.”
    <i>International Journal of Reconfigurable Computing</i>, 2020, pp. 1–19, doi:<a
    href="https://doi.org/10.1155/2020/2808710">10.1155/2020/2808710</a>.
  short: J. Anwer, S. Meisner, M. Platzner, International Journal of Reconfigurable
    Computing (2020) 1–19.
date_created: 2020-06-15T11:25:07Z
date_updated: 2022-01-06T06:53:04Z
department:
- _id: '78'
doi: 10.1155/2020/2808710
language:
- iso: eng
page: 1-19
publication: International Journal of Reconfigurable Computing
publication_identifier:
  issn:
  - 1687-7195
  - 1687-7209
publication_status: published
status: public
title: Dynamic Reliability Management for FPGA-Based Systems
type: journal_article
user_id: '398'
year: '2020'
...