Irem Boybat
Irem Boybat
In-memory computing, IBM Research - Zurich
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Accurate deep neural network inference using computational phase-change memory
V Joshi, M Le Gallo, S Haefeli, I Boybat, SR Nandakumar, C Piveteau, ...
Nature communications 11 (1), 2473, 2020
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
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), 2018
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), 2102, 2018
Mixed-precision deep learning based on computational memory
SR Nandakumar, M Le Gallo, C Piveteau, V Joshi, G Mariani, I Boybat, ...
Frontiers in neuroscience 14, 406, 2020
Recent advances and future prospects for memristive materials, devices, and systems
MK Song, JH Kang, X Zhang, W Ji, A Ascoli, I Messaris, AS Demirkol, ...
ACS nano 17 (13), 11994-12039, 2023
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
Experimental demonstration of supervised learning in spiking neural networks with phase-change memory synapses
SR Nandakumar, I Boybat, M Le Gallo, E Eleftheriou, A Sebastian, ...
Scientific reports 10 (1), 8080, 2020
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
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
Ml-hw co-design of noise-robust tinyml models and always-on analog compute-in-memory edge accelerator
C Zhou, FG Redondo, J Büchel, I Boybat, XT Comas, SR Nandakumar, ...
IEEE Micro 42 (6), 76-87, 2022
Deep learning acceleration based on in-memory computing
E Eleftheriou, M Le Gallo, SR Nandakumar, C Piveteau, I Boybat, V Joshi, ...
IBM Journal of Research and Development 63 (6), 7: 1-7: 16, 2019
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
A heterogeneous in-memory computing cluster for flexible end-to-end inference of real-world deep neural networks
A Garofalo, G Ottavi, F Conti, G Karunaratne, I Boybat, L Benini, D Rossi
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 (2 …, 2022
Graphene-based wireless agile interconnects for massive heterogeneous multi-chip processors
S Abadal, R Guirado, H Taghvaee, A Jain, EP de Santana, PH Bolívar, ...
IEEE wireless communications 30 (4), 162-169, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20