Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
The Game of Wall Cops and Robbers Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Fault Tolerant and Energy Efficient Signal Processing on FPGA Using Evolutionary Techniques

Authors : Deepa Jose, Roshini Tamilselvan

Published in: Computational Intelligence, Cyber Security and Computational Models

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, an energy efficient approach using field-programmable gate array (FPGA) partial dynamic reconfiguration (PDR) is presented to realize autonomous fault recovery in mission-critical (space/defence) signal processing applications at runtime. A genetic algorithm (GA) based on adaptive search space pruning is implemented, for reducing repair time thus increasing availability. The proposed method utilizes dynamic fitness function evaluation, which reduces the test patterns for fitness evaluation. Hence, the scalability issue and large recovery time associated with refurbishment of larger circuits is addressed and improved. Experiments with case study circuits, prove successful repair in minimum number of generations, when compared to conventional GA. In addition, an autonomous self-healing system for FPGA based signal processing system is proposed using the presented pruning based GA for intrinsic evolution with the goal of reduced power consumption and faster recovery time.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Motor Imagery Classification Based on Variable Precision Multigranulation Rough Set
next chapter A Two Phase Approach for Efficient Clustering of Web Services
Literature
1.
Moore, P., Venayagamoorthy, G.K.: Evolving combinational logic circuits using a hybrid quantum evolution and particle swarm inspired algorithm. In: Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware, pp. 97–102, Washington (2005)
2.
Oreifej, R.S., Sharma, C.A., DeMara, R.F.: Expediting GA-based evolution using group testing techniques for reconfigurable hardware. In: Proceedings of the IEEE International Conference on Reconfigurable Computing and FPGAs, pp. 1–8, San Louis Potosi (2006)
3.
Al-Haddad, R., Oreifej, R., Ashraf, R.A., DeMara, R.F.: Sustainable modular adaptive redundancy technique emphasizing partial reconfiguration for reduced power consumption. Int. J. Reconfigurable Comput. 2011, 1–12 (2011)
4.
Li, Y., Mitra, S., Gardner, D., Kim, Y., Mintarno, E.: Overcoming early-life failure and aging challenges for robust system design. IEEE Des. Test Comput. 26, 28–39 (2009)CrossRef
5.
Srinivasan, S., Krishnan, R., Mangalagiri, P., Xie, Y., Narayanan, V., Irwin, M.J., Sarpatwari, K.: Toward increasing FPGA lifetime. IEEE Trans. Dependable Secure Comput. 5, 115–127 (2008)CrossRef
6.
Mintarno, E., Skaf, J., Zheng, R., Velamala, J.B., Cao, Y., Boyd, S., Dutton, R.W., Mitra, S.: Self-tuning for maximized lifetime energy-efficiency in the presence of circuit aging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30, 760–773 (2011)
7.
Keymeulen, D., Stoica, A., Zebulum, R.: Fault-tolerant evolvable hardware using field programmable transistor arrays. IEEE Trans. Reliab. 48, 305–316 (2000)CrossRef
8.
DeMara, R.F., Zhang, K.: Autonomous FPGA fault handling through competitive runtime reconfiguration. In: Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware, pp. 109–116, Washington (2005)
9.
Zhang, K., DeMara, R.F., Sharma, C.A.: Consensus-based evaluation for fault isolation and on-line evolutionary regeneration. In: Proceedings of the International Conference in Evolvable Systems, pp. 12–24, Spain (2005)
10.
Greenwood, G.W.: On the practicality of using intrinsic reconfiguration for fault recovery. IEEE Trans. Evol. Comput. 9, 398–405 (2005)CrossRef
11.
Haddow, P.C., Tyrrell, A.M.: Challenges of evolvable hardware past, present and the path to a promising future. Genet. Program Evolvable Mach. 12, 183–215 (2011)CrossRef
12.
Larchev, G.V., Lohn, J.D.: Evolutionary based techniques for fault tolerant field programmable gate arrays. In: Proceedings of the 2nd IEEE Conference Space Mission Challenges for Information Technology, pp. 321–329, Pasadena (2006)
13.
Abramovici, M., Emmert, J.M., Stroud, C.E.: Roving STARs: an integrated approach to on-line testing, diagnosis, and fault tolerance for FPGAs in adaptive computing systems. In: Proceedings of the NASA/DoD Workshop on Evolvable Hardware, Long Beach (2001)
14.
DeMara, R.F., Zhang, K., Sharma, C.A.: Autonomic fault-handling and refurbishment using throughput-driven assessment. Appl. Soft Comput. 11, 1588–1599 (2011)
15.
Oreifej, R.S., Al-Haddad, R.N., Tan, H., DeMara, R.F.: Layered approach to intrinsic evolvable hardware using direct bitstream manipulation of Virtex II Pro devices. In: Proceedings of the International Conference on Field Programmable Logic and Applications, pp. 299–304, Amsterdam (2007)
16.
17.
Ashraf, R.A., DeMara, R.F.: Scalable FPGA refurbishment using netlist-driven evolutionary algorithms. IEEE Trans. Comput. 62, 1526–1541 (2013)CrossRefMathSciNet
Metadata
Title
Fault Tolerant and Energy Efficient Signal Processing on FPGA Using Evolutionary Techniques
Authors
Deepa Jose
Roshini Tamilselvan
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence, Cyber Security and Computational Models

Print ISBN: 978-981-10-0250-2

Electronic ISBN: 978-981-10-0251-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0251-9_16

Premium Partner

    Image Credits