Spintronic devices as key elements for energy-efficient neuroinspired architectures

Proceedings -Design, Automation and Test in Europe, DATE

Volumn 2015-April, Issue , 2015, Pages 994-999

  Locatelli, Nicolas ^a   Vincent, Adrien F ^a   Mizrahi, Alice ^a   Friedman, Joseph S ^a   Vodenicarevic, Damir ^a   Kim, Joo Von ^a   Klein, Jacques Olivier ^a   Zhao, Weisheng ^a,b   Grollier, Julie ^c   Querlioz, Damien ^a  

^a UNIVERSITÉ PARIS SACLAY   (France)

^b BEIHANG UNIVERSITY   (China)

^c UNITÉ MIXTE DE PHYSIQUE CNRS THALES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CMOS INTEGRATED CIRCUITS; DATA MINING; ENERGY EFFICIENCY; MAGNETIC DEVICES; MAGNETIC RESONANCE; NONVOLATILE STORAGE; SPINTRONICS; STOCHASTIC SYSTEMS; TUNNEL JUNCTIONS;

ENERGY EFFICIENT; MAGNETIC TUNNEL JUNCTION; MEMRISTIVE BEHAVIOR; MODELS OF COMPUTATION; NEUROMORPHIC SYSTEMS; NON-VOLATILE MEMORY; SPINTRONIC DEVICE; STOCHASTIC RESONANCES;

MEMORY ARCHITECTURE;

EID: 84945974316     PISSN: 15301591     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.7873/date.2015.1117     Document Type: Conference Paper

References (42)

1. Y.-K. Chen, J. Chhugani, P. Dubey, C. Hughes, D. Kim, S. Kumar, V. Lee, A. Nguyen, and M. Smelyanskiy, "Convergence of recognition, mining, and synthesis workloads and its implications," Proceedings of the IEEE, vol. 96, no. 5, pp. 790-807, May 2008.
2. P. A. Merolla, J. V. Arthur, R. Alvarez-Icaza, A. S. Cassidy, J. Sawada, F. Akopyan, B. L. Jackson, N. Imam, C. Guo, Y. Nakamura, B. Brezzo, I. Vo, S. K. Esser, R. Appuswamy, B. Taba, A. Amir, M. D. Flickner, W. P. Risk, R. Manohar, and D. S. Modha, "A million spiking-neuron integrated circuit with a scalable communication network and interface," Science, vol. 345, no. 6197, pp. 668-673, Aug. 2014.
3. B. Benjamin, P. Gao, E. McQuinn, S. Choudhary, A. Chandrasekaran, J.-M. Bussat, R. Alvarez-Icaza, J. Arthur, P. Merolla, and K. Boahen, "Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations," Proceedings of the IEEE, vol. 102, no. 5, pp. 699-716, May 2014.
4. S. Furber, F. Galluppi, S. Temple, and L. Plana, "The SpiNNaker project," Proceedings of the IEEE, vol. 102, no. 5, pp. 652-665, May 2014.
5. G. Indiveri, B. Linares-Barranco, T. J. Hamilton, R. Etienne-Cummings, T. Delbruck, S.-C. Liu, P. Häfliger, S. Renaud, J. Schemmel, G. Cauwenberghs, J. Arthur, S. Saighi, J. Wijekoon, and K. Boahen, "Neuromorphic silicon neuron circuits," Front. Neuromorphic Engineering, vol. 5, p. 73, 2011.
6. N. Locatelli, V. Cros, and J. Grollier, "Spin-torque building blocks," Nat Mater, vol. 13, no. 1, pp. 11-20, Jan. 2014.
7. Y. Zhang, W. Zhao, J.-O. Klein, W. Kang, D. Querlioz, Y. Zhang, D. Ravelosona, and C. Chappert, "Spintronics for low-power computing," in Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014, Mar. 2014, pp. 1-6.
8. N. Locatelli, A. Mizrahi, A. Accioly, D. Querlioz, J.-V. Kim, V. Cros, and J. Grollier, "Spin torque nanodevices for bio-inspired computing," in 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Jul. 2014, pp. 1-2.
9. A. Chanthbouala, V. Garcia, R. O. Cherifi, K. Bouzehouane, S. Fusil, X. Moya, S. Xavier, H. Yamada, C. Deranlot, N. D. Mathur, M. Bibes, A. Barthélémy, and J. Grollier, "A ferroelectric memristor," Nat. Mat., vol. 11, no. 10, pp. 860-864, 2012.
10. D. Querlioz, O. Bichler, P. Dollfus, and C. Gamrat, "Immunity to device variations in a spiking neural network with memristive nanodevices," IEEE Trans. Nanotechnol., vol. 12, no. 3, pp. 288-295, 2013.
11. S. H. Jo, T. Chang, I. Ebong, B. B. Bhadviya, P. Mazumder, and W. Lu, "Nanoscale memristor device as synapse in neuromorphic systems," Nano Lett., vol. 10, no. 4, pp. 1297-1301, Apr. 2010.
12. B. Linares-Barranco and T. Serrano-Gotarredona, "Exploiting memristance in adaptive asynchronous spiking neuromorphic nanotechnology systems," in Proc. of IEEE Conference on Nanotechnology, 2009, 2009, pp. 601-604.
13. G. Indiveri, B. Linares-Barranco, R. Legenstein, G. Deligeorgis, and T. Prodromakis, "Integration of nanoscale memristor synapses in neuromorphic computing architectures," Nanotechnology, vol. 24, no. 38, p. 384010, Sep. 2013.
14. Z. Diao, Z. Li, S. Wang, Y. Ding, A. Panchula, E. Chen, L.-C. Wang, and Y. Huai, "Spin-transfer torque switching in magnetic tunnel junctions and spin-transfer torque random access memory," Journal of Physics: Condensed Matter, vol. 19, no. 16, p. 165209, Apr. 2007.
15. H. Yoda, S. Fujita, N. Shimomura, E. Kitagawa, K. Abe, K. Nomura, H. Noguchi, and J. Ito, "Progress of STT-MRAM technology and the effect on normally-off computing systems," in IEDM Tech. Dig., Dec. 2012, pp. 11.3.1-11.3.4.
16. T. Devolder, J. Hayakawa, K. Ito, H. Takahashi, S. Ikeda, P. Crozat, N. Zerounian, J.-V. Kim, C. Chappert, and H. Ohno, "Single-shot time-resolved measurements of nanosecond-scale spin-transfer induced switching: Stochastic versus deterministic aspects," Phys. Rev. Lett., vol. 100, no. 5, p. 057206, Feb. 2008.
17. D. Bedau, H. Liu, J. Z. Sun, J. A. Katine, E. E. Fullerton, S. Mangin, and A. D. Kent, "Spin-transfer pulse switching: From the dynamic to the thermally activated regime," Applied Physics Letters, vol. 97, no. 26, pp. 262 502-262 502-3, Dec. 2010.
18. Y. Zhang, W. Zhao, G. Prenat, T. Devolder, J.-O. Klein, C. Chappert, B. Dieny, and D. Ravelosona, "Electrical modeling of stochastic spin transfer torque writing in magnetic tunnel junctions for memory and logic applications," IEEE Transactions on Magnetics, vol. 49, no. 7, pp. 4375-4378, Jul. 2013.
19. A. F. Vincent, N. Locatelli,W. S. Zhao, J.-O. Klein, S. Galdin-Retailleau, and D. Querlioz, "Analytical macrospin modeling of the stochastic switching time of spin transfer-torque magnetic tunnel junctions," IEEE Trans. Electron Dev., accepted, 2014.
20. A. Fukushima, T. Seki, K. Yakushiji, H. Kubota, H. Imamura, S. Yuasa, and K. Ando, "Spin dice: A scalable truly random number generator based on spintronics," Appl. Phys. Express, vol. 7, no. 8, p. 083001, Aug. 2014.
21. M. Sharad, C. Augustine, G. Panagopoulos, and K. Roy, "Spin-based neuron model with domain-wall magnets as synapse," IEEE Transactions on Nanotechnology, vol. 11, no. 4, pp. 843-853, Jul. 2012.
22. X. Wang, Y. Chen, H. Xi, H. Li, and D. Dimitrov, "Spintronic memristor through spin-torque-induced magnetization motion," IEEE Electron Device Letters, vol. 30, no. 3, pp. 294-297, Mar. 2009.
23. A. Chanthbouala, R. Matsumoto, J. Grollier, V. Cros, A. Anane, A. Fert, A. V. Khvalkovskiy, K. A. Zvezdin, K. Nishimura, Y. Nagamine, H. Maehara, K. Tsunekawa, A. Fukushima, and S. Yuasa, "Verticalcurrent-induced domain-wall motion in MgO-based magnetic tunnel junctions with low current densities," Nat. Phys., vol. 7, no. 8, pp. 626-630, 2011.
24. W. Zhao, M. Moreau, E. Deng, Y. Zhang, J.-M. Portal, J.-O. Klein, M. Bocquet, H. Aziza, D. Deleruyelle, C. Muller, D. Querlioz, N. Ben Romdhane, D. Ravelosona, and C. Chappert, "Synchronous non-volatile logic gate design based on resistive switching memories," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. Early Access Online, 2013.
25. J. V. Arthur and K. A. Boahen, "Learning in silicon: Timing is everything," Advances in neural information processing systems, vol. 18, pp. 281-1185, 2006.
26. G. Indiveri, E. Chicca, and R. Douglas, "A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity," Neural Networks, IEEE Transactions on, vol. 17, no. 1, pp. 211-221, 2006.
27. F. Alibart, E. Zamanidoost, and D. B. Strukov, "Pattern classification by memristive crossbar circuits using ex situ and in situ training," Nat Commun, vol. 4, Jun. 2013.
28. Y. Lakys, W. S. Zhao, T. Devolder, Y. Zhang, J.-O. Klein, D. Ravelosona, and C. Chappert, "Self-enabled "error-free" switching circuit for spin transfer torque MRAM and logic," IEEE Trans. Magn., vol. 48, no. 9, pp. 2403-2406, 2012.
29. J. H. Lee and K. K. Likharev, "Defect-tolerant nanoelectronic pattern classifiers," Int. J. Circ. Theor. Appl., vol. 35, no. 3, pp. 239-264, May 2007.
30. M. Suri, D. Querlioz, O. Bichler, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, and B. DeSalvo, "Bio-inspired stochastic computing using binary CBRAM synapses," IEEE Transactions on Electron Devices, vol. 60, no. 7, pp. 2402-2409, 2013.
31. A. F. Vincent, J. Larroque, W. S. Zhao, N. Ben Romdhane, O. Bichler, C. Gamrat, J.-O. Klein, S. Galdin-Retailleau, and D. Querlioz, "Spintransfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems," submitted, 2014.
32. -, "Spin-transfer torque magnetic memory as a stochastic memristive synapse," in 2014 IEEE International Symposium on Circuits and Systems (ISCAS), Jun. 2014, pp. 1074-1077.
33. P. Lichtsteiner, C. Posch, and T. Delbruck, "A 128x 128 120 dB 15 mus latency asynchronous temporal contrast vision sensor," IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 566-576, 2008.
34. N. Locatelli, A. Mizrahi, A. Accioly, R. Matsumoto, A. Fukushima, H. Kubota, S. Yuasa, V. Cros, L. G. Pereira, D. Querlioz, J.-V. Kim, and J. Grollier, "Noise-enhanced synchronization of stochastic magnetic oscillators," Phys. Rev. Applied, vol. 2, no. 3, p. 034009, Sep. 2014.
35. L. Gammaitoni, P. Hänggi, P. Jung, and F. Marchesoni, "Stochastic resonance," Rev. Mod. Phys., vol. 70, no. 1, p. 223, Jan. 1998.
36. G. D. Fuchs, J. A. Katine, S. I. Kiselev, D. Mauri, K. S. Wooley, D. C. Ralph, and R. A. Buhrman, "Spin torque, tunnel-current spin polarization, and magnetoresistance in MgO magnetic tunnel junctions," Phys. Rev. Lett., vol. 96, no. 18, p. 186603, May 2006.
37. W. Rippard, R. Heindl, M. Pufall, S. Russek, and A. Kos, "Thermal relaxation rates of magnetic nanoparticles in the presence of magnetic fields and spin-transfer effects," Phys. Rev. B, vol. 84, no. 6, p. 064439, Aug. 2011.
38. X. Cheng, C. T. Boone, J. Zhu, and I. N. Krivorotov, "Nonadiabatic stochastic resonance of a nanomagnet excited by spin torque," Phys. Rev. Lett., vol. 105, no. 4, p. 047202, Jul. 2010.
39. M. D. McDonnell and D. Abbott, "What is stochastic resonance? definitions, misconceptions, debates, and its relevance to biology," PLoS Comput Biol, vol. 5, no. 5, May 2009.
40. L. M. Ward, A. Neiman, and F. Moss, "Stochastic resonance in psychophysics and in animal behavior," Biol Cybern, vol. 87, no. 2, pp. 91-101, Aug. 2002.
41. H. Chen, P. Varshney, S. Kay, and J. Michels, "Theory of the stochastic resonance effect in signal detection: Part i-fixed detectors," Signal Processing, IEEE Transactions on, vol. 55, no. 7, pp. 3172-3184, 2007.
42. H. Chen, L. Varshney, and P. Varshney, "Noise-enhanced information systems," Proceedings of the IEEE, vol. 102, no. 10, pp. 1607-1621, Oct. 2014.