Irem Boybat

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 48

Top Topics

Massively Parallel

Top Venues

Publications

Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR (2024)
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR (2024)
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS (2024)
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR (2023)
Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). IRPS (2023)
Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers 72 (7) (2023)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30 (4) (2023)
Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS (2023)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. DATE (2023)
Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. IEEE Trans. Very Large Scale Integr. Syst. 31 (1) (2023)
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE (2023)
Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. CoRR (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. CoRR (2022)
Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR (2022)
Manuel Le Gallo, S. R. Nandakumar, Lazar Ciric, Irem Boybat, Riduan Khaddam-Aljameh, Charles Mackin, Abu Sebastian
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. Neuromorph. Comput. Eng. 2 (1) (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. CoRR (2022)
Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 42 (6) (2022)
Robert L. Bruce, Syed Ghazi Sarwat, Irem Boybat, Cheng-Wei Cheng, Wanki Kim, S. R. Nandakumar, Charles Mackin, Timothy Philip, Zuoguang Liu, Kevin Brew, Nanbo Gong, Injo Ok, Praneet Adusumilli, Katie Spoon, Stefano Ambrogio, Benedikt Kersting, Thomas Bohnstingl, Manuel Le Gallo, Andrew Simon, Ning Li, Iqbal Saraf, Jin-Ping Han, Lynne M. Gignac, John M. Papalia, Tenko Yamashita, Nicole Saulnier, Geoffrey W. Burr, Hsinyu Tsai, Abu Sebastian, Vijay Narayanan, Matthew BrightSky
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS (2021)
Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR (2021)
Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? CoRR (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? AICAS (2021)
Michele Martemucci, Benedikt Kersting, Riduan Khaddam-Aljameh, Irem Boybat, S. R. Nandakumar, Urs Egger, Matthew BrightSky, Robert L. Bruce, Manuel Le Gallo, Abu Sebastian
Accurate Weight Mapping in a Multi-Memristive Synaptic Unit. ISCAS (2021)
Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos
Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. ISCAS (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS (2020)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR (2020)
Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos
Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. CoRR (2020)
S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision deep learning based on computational memory. CoRR (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR (2020)
S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Phase-Change Memory Models for Deep Learning Training and Inference. ICECS (2019)
Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou
Computational memory-based inference and training of deep neural networks. VLSI Circuits (2019)
Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Accurate deep neural network inference using computational phase-change memory. CoRR (2019)
Irem Boybat, Cecilia Giovinazzo, Elmira Shahrabi, Igor Krawczuk, Iason Giannopoulos, Christophe Piveteau, Manuel Le Gallo, Carlo Ricciardi, Abu Sebastian, Evangelos Eleftheriou, Yusuf Leblebici
Multi-ReRAM Synapses for Artificial Neural Network Training. ISCAS (2019)
S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran
Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. CoRR (2019)
Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63 (6) (2019)
Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C. P. Farinha, Benjamin Killeen, Christina Cheng, Yassine Jaoudi, Geoffrey W. Burr
Equivalent-accuracy accelerated neural-network training using analogue memory. Nat. 558 (7708) (2018)
Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Impact of conductance drift on multi-PCM synaptic architectures. NVMTS (2018)
S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision architecture based on computational memory for training deep neural networks. ISCAS (2018)
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. IJCNN (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
An efficient synaptic architecture for artificial neural networks. NVMTS (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses. CoRR (2017)
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes. CoRR (2017)
Irem Boybat, Carmelo di Nolfo, Stefano Ambrogio, Martina Bodini, Nathan C. P. Farinha, Robert M. Shelby, Pritish Narayanan, Severin Sidler, Hsinyu Tsai, Yusuf Leblebici, Geoffrey W. Burr
Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique. ICRC (2017)
S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision training of deep neural networks using computational memory. CoRR (2017)
Severin Sidler, Irem Boybat, Robert M. Shelby, Pritish Narayanan, Jun-Woo Jang, Alessandro Fumarola, Kibong Moon, Yusuf Leblebici, Hyunsang Hwang, Geoffrey W. Burr
Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response. ESSDERC (2016)
Robert M. Shelby, Geoffrey W. Burr, Irem Boybat, Carmelo di Nolfo
Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues. IRPS (2015)
Abdulkadir Akin, Ipek Baz, Baris Atakan, Irem Boybat, Alexandre Schmid, Yusuf Leblebici
A hardware-oriented dynamically adaptive disparity estimation algorithm and its real-time hardware. ACM Great Lakes Symposium on VLSI (2013)