Irem Boybat - RankMe

61 papers A 2B 1C 8Journal 34Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance. IMW H. Tsai, Hadjer Benmeziane, Irem Boybat, Julian Büchel, Pritish Narayanan, Manuel Le Gallo, S. Jain, Athanasios Vasilopoulos, W. Simon, Kohji Hosokawa, M. Ishii, Yasuteru Kohda, A. Chen, Charles Mackin, Kaoutar El Maghraoui, Atsuya Okazaki, Alexander M. Friz, Jose Luquin, Abu Sebastian, V. Narayanan, Geoffrey W. Burr
2025	—	`conf`	Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited). CICC Geoffrey W. Burr, H. Tsai, Irem Boybat, William Andrew Simon, Julian Büchel, Athanasios Vasilopoulos, Pritish Narayanan, Andrea Fasoli, Kohji Hosokawa, Manuel Le Gallo, M. Ishii, Yasuteru Kohda, Atsuya Okazaki, A. Chen, Charles Mackin, Elena Ferro, Kaoutar El Maghraoui, Hadjer Benmeziane, T. Philicelli, Corey Lammie, Alexander M. Friz, Jose Luquin, S. Jain, Abu Sebastian, V. Narayanan
2025	J	`jnl`	CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory. IEEE Trans. Parallel Distributed Syst. William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
2025	J	`jnl`	CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory. CoRR William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
2025	J	`jnl`	Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing. Nat. Comput. Sci. Julian Büchel, Athanasios Vasilopoulos, William Andrew Simon, Irem Boybat, Hsinyu Tsai, Geoffrey W. Burr, Hernan Castro, Bill Filipiak, Manuel Le Gallo, Abbas Rahimi, Vijay Narayanan, Abu Sebastian
2025	J	`jnl`	Enhancing Downstream Analysis in Genome Sequencing: Species Classification While Basecalling. CoRR Riselda Kodra, Hadjer Benmeziane, Irem Boybat, William Andrew Simon
2025	J	`jnl`	LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles. IEEE Trans. Emerg. Top. Comput. Corey Lammie, Yuxuan Wang, Flavio Ponzina, Joshua Alexander Harrison Klein, Hadjer Benmeziane, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2025	A	`conf`	Multi-Mode Borderguard Controllers for Efficient On-Chip Communication in Heterogeneous Digital/Analog Neural Processing Units. DATE Hong Pang, Carmine Cappetta, Riccardo Massa, Athanasios Vasilopoulos, Elena Ferro, Gamze Islamoglu, Angelo Garofalo, Francesco Conti, Luca Benini, Irem Boybat, Thomas Boesch
2025	C	`conf`	NIMA: Near In-Memory High-Precision Accumulation Unit for Heterogeneous Analog/Digital Deep Learning Acceleration. ISCAS Irem Sanli, Elena Ferro, Athanasios Vasilopoulos, Thomas Boesch, Abu Sebastian, Irem Boybat
2025	J	`jnl`	Processing-in-memory for genomics workloads. CoRR William Andrew Simon, Leonid Yavits, Konstantina Koliogeorgi, Yann Falevoz, Yoshihiro Shibuya, Dominique Lavenier, Irem Boybat, Klea Zambaku, Berkan Sahin, Mohammad Sadrosadati, Onur Mutlu, Abu Sebastian, Rayan Chikhi, The BioPIM Consortium, Can Alkan
2024	C	`conf`	A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
2024	J	`jnl`	A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
2024	J	`jnl`	LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Alexander Harrison Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2024	J	`jnl`	Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs. IEEE Trans. Parallel Distributed Syst. Joshua Alexander Harrison Klein, Irem Boybat, Giovanni Ansaloni, Marina Zapater, David Atienza
2023	J	`jnl`	A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. IEEE Trans. Very Large Scale Integr. Syst. 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
2023	J	`jnl`	ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2023	—	`conf`	AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE 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
2023	J	`jnl`	AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR 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
2023	C	`conf`	Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS 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
2023	A	`conf`	End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. DATE Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2023	J	`jnl`	Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2023	—	`conf`	Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). IRPS 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
2022	J	`jnl`	A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. CoRR Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022	J	`jnl`	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. Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022	J	`jnl`	ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2022	J	`jnl`	Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. CoRR 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
2022	J	`jnl`	End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. CoRR Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2022	J	`jnl`	ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 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
2022	J	`jnl`	Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. Neuromorph. Comput. Eng. Manuel Le Gallo, S. R. Nandakumar, Lazar Ciric, Irem Boybat, Riduan Khaddam-Aljameh, Charles Mackin, Abu Sebastian
2022	—	`conf`	Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022	J	`jnl`	Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. CoRR Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2021	C	`conf`	Accurate Weight Mapping in a Multi-Memristive Synaptic Unit. ISCAS Michele Martemucci, Benedikt Kersting, Riduan Khaddam-Aljameh, Irem Boybat, S. R. Nandakumar, Urs Egger, Matthew BrightSky, Robert L. Bruce, Manuel Le Gallo, Abu Sebastian
2021	J	`jnl`	AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR 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
2021	—	`conf`	Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF Joshua Alexander Harrison 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 Christian Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
2021	—	`conf`	End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? AICAS Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2021	J	`jnl`	End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? CoRR Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2021	—	`conf`	Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS 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
2020	C	`conf`	Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. ISCAS Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos
2020	J	`jnl`	Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. CoRR Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos
2020	C	`conf`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR 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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2020	J	`jnl`	Mixed-precision deep learning based on computational memory. CoRR 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
2019	J	`jnl`	Accurate deep neural network inference using computational phase-change memory. CoRR Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	—	`conf`	Computational memory-based inference and training of deep neural networks. VLSI Circuits 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
2019	J	`jnl`	Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 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
2019	C	`conf`	Multi-ReRAM Synapses for Artificial Neural Network Training. ISCAS Irem Boybat, Cecilia Giovinazzo, Elmira Shahrabi, Igor Krawczuk, Iason Giannopoulos, Christophe Piveteau, Manuel Le Gallo, Carlo Ricciardi, Abu Sebastian, Evangelos Eleftheriou, Yusuf Leblebici
2019	—	`conf`	Phase-Change Memory Models for Deep Learning Training and Inference. ICECS S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	J	`jnl`	Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. CoRR S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran
2018	J	`jnl`	Equivalent-accuracy accelerated neural-network training using analogue memory. Nat. 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
2018	—	`conf`	Impact of conductance drift on multi-PCM synaptic architectures. NVMTS Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2018	C	`conf`	Mixed-precision architecture based on computational memory for training deep neural networks. ISCAS S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2017	—	`conf`	An efficient synaptic architecture for artificial neural networks. NVMTS Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2017	J	`jnl`	Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes. CoRR Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
2017	B	`conf`	Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. IJCNN Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
2017	—	`conf`	Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique. ICRC 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
2017	J	`jnl`	Mixed-precision training of deep neural networks using computational memory. CoRR S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2017	J	`jnl`	Neuromorphic computing with multi-memristive synapses. CoRR Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2016	—	`conf`	Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response. ESSDERC Severin Sidler, Irem Boybat, Robert M. Shelby, Pritish Narayanan, Jun-Woo Jang, Alessandro Fumarola, Kibong Moon, Yusuf Leblebici, Hyunsang Hwang, Geoffrey W. Burr
2015	—	`conf`	Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues. IRPS Robert M. Shelby, Geoffrey W. Burr, Irem Boybat, Carmelo di Nolfo
2013	—	`conf`	A hardware-oriented dynamically adaptive disparity estimation algorithm and its real-time hardware. ACM Great Lakes Symposium on VLSI Abdulkadir Akin, Ipek Baz, Baris Atakan, Irem Boybat, Alexandre Schmid, Yusuf Leblebici