Irem Boybat  Irem Boybat photo         

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In-memory computing
IBM Research Europe
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2021

Analog in-memory compute cores for accelerating AI applications
I. Boybat
High Performance and Embedded Architecture and Compilation (HiPEAC), Tutorial: Using gem5 and full-system RISC-V simulation to enable the optimization of heterogeneous architectures, 2021


2020

Precision of synaptic weights programmed in phase-change memory devices for deep learning inference
S. R. Nandakumar, I. Boybat, J.-P. Han, S. Ambrogio, P. Adusumilli, R. L. Bruce, M. BrightSky, M. Rasch, M. Le Gallo, A. Sebastian
International Electron Devices Meeting (IEDM), 2020

Accurate deep neural network inference using computational phase-change memory
V. Joshi, M. Le Gallo, S. Haefeli, I. Boybat, S. R. Nandakumar, C. Piveteau, M. Dazzi, B. Rajendran, A. Sebastian, E. Eleftheriou
Nature Communications, 2020

Experimental demonstration of supervised learning in spiking neural networks with phase-change memory synapses
S. R. Nandakumar, I. Boybat, M. Le Gallo, E. Eleftheriou, A. Sebastian, B. Rajendran
Scientific Reports, 2020

Mixed-precision deep learning based on computational memory
S. R. Nandakumar, M. Le Gallo, C. Piveteau, V. Joshi, G, Mariani, I. Boybat, G. Karunaratne, R. Khaddam-Aljameh, U. Egger, A. Petropoulos, T. Antonakopoulos, B. Rajendran, A. Sebastian, E. Eleftheriou
Frontiers in Neuroscience, 2020

Accurate emulation of memristive crossbar arrays for in-memory computing
A. Petropoulos, I. Boybat, M. Le Gallo, E. Eleftheriou, A. Sebastian, T. Antonakopoulos
IEEE International Symposium on Circuits and Systems (ISCAS), 2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
V. Joshi, G. Karunaratne, M. Le Gallo, I. Boybat, C. Piveteau, A. Sebastian, B. Rajendran, E. Eleftheriou
IEEE International Symposium on Circuits and Systems (ISCAS), 2020

Graphene-based wireless agile interconnects for massive heterogeneous multi-chip processors
S. Abadal, R. Guirado, H. Taghvaee, A. Jain, E. Pereira de Santana, P. H. Bolivar, M. Saeed, R. Negra, Z. Wang, K.-T. Wang, M. C. Lemme, J. Klein, M. Zapater, A. Levisse, D. Atienza, D. Rossi, F. Conti, M. Dazzi, G. Karunaratne, I. Boybat, A. Sebastian
ArXiv, 2020


2019

Phase-change memory models for deep learning training and inference
S. R. Nandakumar, I. Boybat, V. Joshi, C. Piveteau, M. Le Gallo, B. Rajendran, A. Sebastian, E. Eleftheriou
IEEE International Conference on Electronics Circuits and Systems (ICECS), 2019

Deep Learning Acceleration based on In-memory Computing
E. Eleftheriou, M. Le Gallo, S. R. Nandakumar, C. Piveteau, I. Boybat, V. Joshi, R. Khaddam-Aljameh, M. Dazzi, I. Giannopoulos, G. Karunaratne, B. Kersting, M. Stanisavijevic, V. P, Jonnalagadda, N. Ioannou, K. Kourtis, P. A. Francese, A. Sebastian
IBM Journal of Research and Development, 2019

Computational memory-based inference and training of deep neural networks
A. Sebastian, I. Boybat, M. Dazzi, I. Giannopoulos, V. Jonnalagadda, V. Joshi, G. Karunaratne, B. Kersting, R. Khaddam-Aljameh, S. R. Nandakumar, A. Petropoulos, C. Piveteau, T. Antonakopoulos, B. Rajendran, M. Le Gallo, E. Eleftheriou
VLSI Symposium, 2019

Accurate deep neural network inference using computational phase-change memory
V. Joshi, M. Le Gallo, I. Boybat, S. Haefeli, C. Piveteau, M. Dazzi, B. Rajendran, A. Sebastian, E. Eleftheriou
ArXiv, 2019

Supervised learning in spiking neural networks with phase-change memory synapses
S. R. Nandakumar, I. Boybat, M. Le Gallo, E. Eleftheriou, A. Sebastian, B. Rajendran
ArXiv, 2019

Multi-ReRAM synapses for artificial neural network training
I. Boybat, C. Giovinazzo, E. Shahrabi, I. Krawczuk, I. Giannopoulos, C. Piveteau, M. Le Gallo, C. Ricciardi, A. Sebastian, E. Eleftheriou, Y. Leblebici
IEEE International Symposium on Circuits and Systems (ISCAS), 2019


2018

Impact of conductance drift on multi-PCM synaptic architectures
I. Boybat, S. R. Nandakumar, M. Le Gallo, B. Rajendran, Y. Leblebici, A. Sebastian, E. Eleftheriou
Non-Volatile Memory Technology Symposium (NVMTS), 2018

Multi-PCM synapses for spiking neural networks
I. Boybat, M. Le Gallo, S. R. Nandakumar, B. Rajendran, Y. Leblebici, A. Sebastian and E. Eleftheriou
European Phase-Change and Ovonic Symposium (E\PCOS), 2018

Neuromorphic computing with multi-memristive synapses
I. Boybat, M. Le Gallo, S. R. Nandakumar, T. Moraitis, T. Parnell, T. Tuma, B. Rajendran, Y. Leblebici, A. Sebastian and E. Eleftheriou
Nature Communications (Designated as one of the top 50 Nature Communications physics articles of 2018)

Equivalent-accuracy accelerated neural-network training using analogue memory
S. Ambrogio, P. Narayanan, H. Tsai, R. M. Shelby, I. Boybat, C. di Nolfo, S. Sidler, M. Giordano, M. Bodini, N. C. P. Farinha, B. Killeen, C. Cheng, Y. Jaoudi and G. W. Burr
Nature, 2018

A phase-change memory model for neuromorphic computing
S. R. Nandakumar, M. Le Gallo, I. Boybat, B. Rajendran, A. Sebastian, and E. Eleftheriou
Journal of Applied Physics, 2018

Mixed-precision architecture based on computational memory for training deep neural networks
S. R. Nandakumar, M. Le Gallo, I. Boybat, B. Rajendran, A. Sebastian and E. Eleftheriou
IEEE International Symposium on Circuits and Systems (ISCAS), 2018

Memristive synapses for neuromorphic computing
I. Boybat
Invited talk at Neuromorphic computing and hardware - Gothenburg - Stockholm joint workshop, 2018

Signal and noise extraction from non-volatile memory for neuromorphic computing: A machine learning based approach
T. Ando, N. Gong, T. Ide, S. Kim, I. Boybat, A. Sebastian and V. Narayanan
Neuro Inspired Computational Elements Workshop (NICE), 2018

Signal and noise extraction from analog memory elements for neuromorphic computing
N. Gong, T. Ide, S. Kim, I. Boybat, A. Sebastian, V. Narayanan and T. Ando
Nature Communications, 2018


2017

Multilayer Perceptron Algorithm: Impact of Nonideal Conductance and Area-Efficient Peripheral Circuits
L. L. Sanches, A. Fumarola, S. Sidler, P. Narayanan, I. Boybat, J. Jang, K. Moon, R. M. Shelby, Y. Leblebici, H. Hwang and G. W. Burr
Neuro-inspired Computing Using Resistive Synaptic Devices, 2017

Mixed-precision training of deep neural networks using computational memory
S. R. Nandakumar, M. Le Gallo, I. Boybat, B. Rajendran, A. Sebastian, E. Eleftheriou
ArXiv, 2017

Improved deep neural network hardware-accelerators based on non-volatile-memory: the local gains technique
I. Boybat, C. Di Nolfo, S. Ambrogio, M. Bodini, N. C. P. Farinha, R. M. Shelby, P. Narayanan, S. Sidler, H. Tsai, Y. Leblebici, and G. W. Burr
International Conference on Rebooting Computing (ICRC), 2017

Supervised Learning in Spiking Neural Networks with MLC PCM Synapses
S. R. Nandakumar, I. Boybat, M. Le Gallo, A. Sebastian, B. Rajendran, and E. Eleftheriou
Device Research Conference (DRC), 2017

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, and E. Eleftheriou
Conference on PhD Research in Microelectronics and Electronics (PRIME) , 2017

Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes
T. Moraitis, A. Sebastian, I. Boybat, M. Le Gallo, T. Tuma, and E. Eleftheriou
International Joint Conference on Neural Networks (IJCNN) , 2017

An efficient synaptic architecture for artificial neural networks
I. Boybat, M. Le Gallo, S. R. Nandakumar, T. Moraitis, T. Tuma, B. Rajendran, Y. Leblebici, A. Sebastian and E. Eleftheriou
Non-Volatile Memory Technology Symposium (NVMTS), 2017


2016

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Impact of conductance response
S. Sidler, I. Boybat, R. M. Shelby, P. Narayanan, J. Jang, A. Fumarola, K. Moon, Y. Leblebici, H. Hwang, and G. W. Burr
European Solid-State Device Research Conference (ESSDERC), 2016

Neuromorphic computing using non-volatile memory
G. W. Burr, R. M. Shelby, A. Sebastian, S. Kim, S. Kim, S.Sidler, K. Virwani, M. Ishii, P. Narayanan, A. Fumarola, L. L. Sanches, I. Boybat, M. Le Gallo, K. Moon, J. Woo, H. Hwang, Y. Leblebici
Advances in Physics: X , 2016

Nonvolatile nemory crossbar arrays for non-von Neumann computing
S. Sidler, J. Jang, G. W. Burr, R. M. Shelby, I. Boybat, C. di Nolfo, P. Narayanan, K. Virwani, H. Hwang
Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices, 2016


2015

Cognitive Computing with Non-Volatile Memory Elements
I. Boybat, J. Sandrini, D. Sacchetto, G.W. Burr, and Y. Leblebici
MemoCIS Training School, 2015

Non-volatile memory crossbar arrays for non-Von Neumann computing (Invited)
G. W. Burr, R. M. Shelby, I. Boybat, S. Sidler, and C. di Nolfo
Electronic Materials Conference (EMC), 2015

Crossbar arrays for Storage Class Memory and non-Von Neumann computing (Invited)
G. W. Burr, R. M. Shelby, S. Sidler, P. Narayanan, I. Boybat, and C. di Nolfo
European Phase-Change and Ovonic Symposium (E\PCOS), 2015

PCM for neuromorphic applications: Impact of device characteristics on neural network performance
I. Boybat, S. Sidler, C. di Nolfo, R. M. Shelby, P. Narayanan, Y. Leblebici, and G. W. Burr
European Phase-Change and Ovonic Symposium (E\PCOS), 2015

Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues (Invited)
R. M. Shelby, G. W. Burr, I. Boybat, and C. di Nolfo
International Reliability Physics Symposium (IRPS), 2015

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power) (Invited)
G. W. Burr, P. Narayanan, R. M. Shelby, S. Sidler, I. Boybat, C. di Nolfo, Y. Leblebici
International Electron Devices Meeting (IEDM), 2015

Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element (Invited)
G. W. Burr, R. M. Shelby, C. di Nolfo, J. W. Jang, I. Boybat, R. S. Shenoy, P. Narayanan, K. Virwani, E. U. Giacometti, B. Kurdi, and H. Hwang
IEEE Transactions on Electron Devices, 2015


2013

A hardware-oriented dynamically adaptive disparity estimation algorithm and its real-time hardware
A. Akin, I. Baz, B. Atakan, I. Boybat, A. Schmid, and Y. Leblebici
Proceedings of the ACM international conference on Great lakes symposium on VLSI (GLSVLSI), 2013