Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response

European Solid-State Device Research Conference

Volumn 2016-October, Issue , 2016, Pages 440-443

  Sidler, Severin ^a,c   Boybat, Irem ^a,c   Shelby, Robert M ^a   Narayanan, Pritish ^a   Jang, Junwoo ^a,b   Fumarola, Alessandro ^a,c   Moon, Kibong ^b   Leblebici, Yusuf ^c   Hwang, Hyunsang ^b   Burr, Geoffrey W ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

^c EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STORAGE EQUIPMENT; DIGITAL STORAGE; DISTRIBUTION FUNCTIONS; NEURAL NETWORKS; NONVOLATILE STORAGE; SCALES (WEIGHING INSTRUMENTS); SOLID STATE DEVICES;

CLASSIFICATION ACCURACY; COMPETITIVE PERFORMANCE; CONDUCTANCE VALUES; CUMULATIVE DISTRIBUTION FUNCTION; NON-VOLATILE MEMORY; NONVOLATILE MEMORY DEVICES; PHASE CHANGE MEMORY (PCM); SYNAPTIC WEIGHT;

PHASE CHANGE MEMORY;

EID: 84994476878     PISSN: 19308876     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ESSDERC.2016.7599680     Document Type: Conference Paper

References (6)

1. G. W. Burr, R. M. Shelby, C. di Nolfo, J. W. Jang, R. S. Shenoy, P. Narayanan, K. Virwani, E. U. Giacometti, B. Kurdi, and H. Hwang, "Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element," in IEDM, 2014, p. 29.5.
2. G. W. Burr, R. M. Shelby, S. Sidler, C. di Nolfo, J. Jang, I. Boybat, R. S. Shenoy, P. Narayanan, K. Virwani, E. U. Giacometti, B. Kurdi, and H. Hwang, "Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element," IEEE Trans. Electr. Dev., vol. 62, no. 11, pp. 3498-3507, 2015.
3. J.-W. Jang, S. Park, G. W. Burr, H. Hwang, and Y.-H. Jeong, "Optimization of conductance change in Pr1 xCaxMnO3-based synaptic devices for neuromorphic systems," IEEE Electron Device Letters, vol. 36, no. 5, pp. 457-459, 2015.
4. G. W. Burr, P.Narayanan, R. M. Shelby, S. Sidler, I. Boybat, C. di Nolfo, and Y. Leblebici, "Large-scale neural networks implemented with nonvolatile memory as the synaptic weight element: comparative performance analysis (accuracy, speed, and power)," in IEDM Technical Digest, 2015, p. 4.4.
5. D. Rumelhart, G. E. Hinton, and J. L. McClelland, "A general framework for parallel distributed processing," in Parallel Distributed Processing. MIT Press, 1986.
6. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, vol. 86, no. 11, p. 2278, 1998.