Irem Boybat
Irem Boybat
In-Memory Computing, IBM Research - Zurich
Geverifieerd e-mailadres voor zurich.ibm.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Experimental demonstration and tolerancing of a large-scale neural network (165 000 synapses) using phase-change memory as the synaptic weight element
GW Burr, RM Shelby, S Sidler, C Di Nolfo, J Jang, I Boybat, RS Shenoy, ...
IEEE Transactions on Electron Devices 62 (11), 3498-3507, 2015
4752015
Neuromorphic computing using non-volatile memory
GW Burr, RM Shelby, A Sebastian, S Kim, S Kim, S Sidler, K Virwani, ...
Advances in Physics: X 2 (1), 89-124, 2017
3542017
Equivalent-accuracy accelerated neural-network training using analogue memory
S Ambrogio, P Narayanan, H Tsai, RM Shelby, I Boybat, C di Nolfo, ...
Nature 558 (7708), 60-67, 2018
2202018
Neuromorphic computing with multi-memristive synapses
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications 9 (1), 2514, 2018
1252018
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)
GW Burr, P Narayanan, RM Shelby, S Sidler, I Boybat, C di Nolfo, ...
2015 IEEE International Electron Devices Meeting (IEDM), 4.4. 1-4.4. 4, 2015
1002015
Signal and noise extraction from analog memory elements for neuromorphic computing
N Gong, T Idé, S Kim, I Boybat, A Sebastian, V Narayanan, T Ando
Nature communications 9 (1), 1-8, 2018
322018
Mixed-precision architecture based on computational memory for training deep neural networks
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
252018
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Impact of conductance response
S Sidler, I Boybat, RM Shelby, P Narayanan, J Jang, A Fumarola, K Moon, ...
2016 46th European Solid-State Device Research Conference (ESSDERC), 440-443, 2016
252016
A phase-change memory model for neuromorphic computing
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
Journal of Applied Physics 124 (15), 152135, 2018
222018
Stochastic weight updates in phase-change memory-based synapses and their influence on artificial neural networks
I Boybat, M Le Gallo, T Moraitis, Y Leblebici, A Sebastian, E Eleftheriou
2017 13th Conference on Ph. D. Research in Microelectronics and Electronics …, 2017
192017
Mixed-precision training of deep neural networks using computational memory
ML Gallo, I Boybat, B Rajendran, A Sebastian, E Eleftheriou
arXiv preprint arXiv:1712.01192, 2017
132017
Supervised learning in spiking neural networks with MLC PCM synapses
SR Nandakumar, I Boybat, M Le Gallo, A Sebastian, B Rajendran, ...
2017 75th Annual Device Research Conference (DRC), 1-2, 2017
122017
Improved deep neural network hardware-accelerators based on non-volatile-memory: The local gains technique
I Boybat, C di Nolfo, S Ambrogio, M Bodini, NCP Farinha, RM Shelby, ...
2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017
92017
Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues
RM Shelby, GW Burr, I Boybat, C Di Nolfo
2015 IEEE International Reliability Physics Symposium, 6A. 1.1-6A. 1.6, 2015
92015
A hardware-oriented dynamically adaptive disparity estimation algorithm and its real-time hardware
A Akin, I Baz, B Atakan, I Boybat, A Schmid, Y Leblebici
Proceedings of the 23rd ACM international conference on Great lakes …, 2013
92013
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes
T Moraitis, A Sebastian, I Boybat, M Le Gallo, T Tuma, E Eleftheriou
2017 International Joint Conference on Neural Networks (IJCNN), 1823-1830, 2017
72017
Computational memory-based inference and training of deep neural networks
A Sebastian, I Boybat, M Dazzi, I Giannopoulos, V Jonnalagadda, V Joshi, ...
2019 Symposium on VLSI Technology, T168-T169, 2019
62019
Accurate deep neural network inference using computational phase-change memory
V Joshi, ML Gallo, I Boybat, S Haefeli, C Piveteau, M Dazzi, B Rajendran, ...
arXiv preprint arXiv:1906.03138, 2019
22019
Supervised learning in spiking neural networks with phase-change memory synapses
SR Nandakumar, I Boybat, ML Gallo, E Eleftheriou, A Sebastian, ...
arXiv preprint arXiv:1905.11929, 2019
22019
Impact of conductance drift on multi-PCM synaptic architectures
I Boybat, SR Nandakumar, M Le Gallo, B Rajendran, Y Leblebici, ...
2018 Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2018
22018
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20