Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices

By Damien Querlioz1; Adrien F. Vincent1

1. Institut d'Electronique Fondamentale, University Paris-Sud, Orsay, France

Published on

Abstract

IWCE 2015 session keynote presentation.

Biological systems compute by exploiting the rich physics of their natural “nanodevices”. In electronics, it is therefore attractive to design bioinspired computing paradigms, which exploit device physics more deeply than digital logic, in order to try and approach the energy efficiency of biological systems. Here, we show how computational tools can assist this research effort.

Credits

In collaboration with A. F. Vincent, A. Mizrahi, N. Locatelli, J. S. Friedman, and D. Vodenicarevic. This work is supported by Labex NanoSaclay (ANR- 10-LABX-0035), ANR COGNISPIN (ANR-13-JS03- 0004-01), and FP7 ICT BAMBI (FP7-ICT-2013-C).

Sponsored by

Cite this work

Researchers should cite this work as follows:

  • Damien, Querlioz, "Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices," in Computational Electronics (IWCE) 2015 International Workshop on, DOI: Not available in IEEE Xplore digital library. Full Website Here

  • Damien Querlioz, Adrien F. Vincent (2015), "Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices," https://nanohub.org/resources/22988.

    BibTex | EndNote

Time

Location

North Ballroom, PMU, Purdue University, West Lafayette, IN

Tags

Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices
  • Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices 1. Computational Methods for the … 0
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  • Electronic nanodevices : the good and the challenge 2. Electronic nanodevices : the g… 39.23923923923924
    00:00/00:00
  • Biology: the nanoelectronics champion? 3. Biology: the nanoelectronics c… 89.322655989322655
    00:00/00:00
  • Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices 4. Computational Methods for the … 147.48081414748083
    00:00/00:00
  • Biology's nanoelectronics 1: the synapse 5. Biology's nanoelectronics 1: t… 180.01334668001334
    00:00/00:00
  • Biology's nanoelectronics 2 6. Biology's nanoelectronics 2 270.90423757090423
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  • Two messages 7. Two messages 365.99933266599936
    00:00/00:00
  • Pioneer work: the Mead approach 8. Pioneer work: the Mead approac… 402.83616950283619
    00:00/00:00
  • How about nanodevices? 9. How about nanodevices? 490.32365699032368
    00:00/00:00
  • Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices 10. Computational Methods for the … 510.14347681014351
    00:00/00:00
  • A bioinspired implication of NVM: Neuroinspired computing 11. A bioinspired implication of N… 514.647981314648
    00:00/00:00
  • Resistive memory as a synaptic analogue 12. Resistive memory as a synaptic… 580.14681348014688
    00:00/00:00
  • Here: Spin Transfer Torque Magnetic Tunnel Junction 13. Here: Spin Transfer Torque Mag… 624.72472472472475
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  • Nanodevices' unpredictability: Stochastic switching in Magnetic Tunnel Junction 14. Nanodevices' unpredictability:… 688.988988988989
    00:00/00:00
  • MC simulation: physical modeling of MTJ 15. MC simulation: physical modeli… 759.19252585919253
    00:00/00:00
  • Analytical modeling of MTJ 16. Analytical modeling of MTJ 841.54154154154162
    00:00/00:00
  • Analytical modeling of MTJ 17. Analytical modeling of MTJ 855.55555555555554
    00:00/00:00
  • MC simulation: Probability distribution 18. MC simulation: Probability dis… 893.92726059392726
    00:00/00:00
  • Probability distribution modeling 19. Probability distribution model… 911.1111111111112
    00:00/00:00
  • Computational Methods for the Design of Bioinspired Systems that Employ Nanodevices 20. Computational Methods for the … 925.42542542542549
    00:00/00:00
  • Non supervision: A system that self-adapts? 21. Non supervision: A system that… 930.69736403069737
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  • Connecting the nanodevices 22. Connecting the nanodevices 955.65565565565566
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  • STDP learning 23. STDP learning 992.5258591925259
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  • STDP learning 24. STDP learning 1047.2806139472807
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  • Pulsing 25. Pulsing 1132.3990657323991
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  • System simulation results w. STT Magnetic Memory 26. System simulation results w. S… 1139.83983983984
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  • Learning how to read (system-level simulations) 27. Learning how to read (system-l… 1207.5408742075408
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  • Simulation detail 28. Simulation detail 1274.8081414748083
    00:00/00:00
  • Robustness to device variation 29. Robustness to device variation 1302.902902902903
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  • Monte Carlo simulation: Robustness to device variation 30. Monte Carlo simulation: Robust… 1348.9155822489156
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  • Conclusion / Prospects 31. Conclusion / Prospects 1415.1818485151819
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  • Thank you for your attention! 32. Thank you for your attention! 1462.0620620620621
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