Geoffrey W. Burr

43 papers A 2C 6Journal 22Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees. CoRR Mohammed Nowaz Rabbani Chowdhury, Hsinyu Tsai, Geoffrey W. Burr, Kaoutar El Maghraoui, Liu Liu, Meng Wang
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	A	`conf`	NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators. DATE Yayue Hou, Hsinyu Tsai, Kaoutar El Maghraoui, Tayfun Gokmen, Geoffrey W. Burr, Liu Liu
2025	J	`jnl`	Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing. CoRR Jose Luquin, Charles Mackin, Stefano Ambrogio, An Chen, F. Baldi, G. Miralles, Malte J. Rasch, Julian Büchel, M. Lalwani, W. Ponghiran, Paul Solomon, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
2025	A	`conf`	SAGE: Saliency-Aware Grouping for Efficient Mapping of LLMs on Analog Compute-in-Memory. ICCAD Yayue Hou, Zhenyu Liu, Garrett Gagnon, Hsinyu Tsai, Kaoutar El Maghraoui, Geoffrey W. Burr, Liu Liu
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`	An analog-AI chip for energy-efficient speech recognition and transcription. Nat. Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Andrea Fasoli, Charles Mackin, Kohji Hosokawa, Akiyo Nomura, Takeo Yasuda, An Chen, Alexander M. Friz, Masatoshi Ishii, Jose Luquin, Yasuteru Kohda, Nicole Saulnier, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr
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	J	`jnl`	Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan
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
2023	—	`conf`	Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, Victor Chan, Samuel Choi, T. Gordon, T. M. Levin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, An Chen, Andrea Fasoli, Jose Luquin, Nicole Saulnier, S. Teehan, Ishtiaq Ahsan, Vijay Narayanan
2022	C	`conf`	Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS Atsuya Okazaki, Pritish Narayanan, Stefano Ambrogio, Kohji Hosokawa, Hsinyu Tsai, Akiyo Nomura, Takeo Yasuda, Charles Mackin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, Katie Spoon, An Chen, Andrea Fasoli, Malte J. Rasch, Geoffrey W. Burr
2022	J	`jnl`	Fair and Comprehensive Benchmarking of Machine Learning Processing Chips. IEEE Des. Test Geoffrey W. Burr, Sukhwan Lim, Boris Murmann, Rangharajan Venkatesan, Marian Verhelst
2021	C	`conf`	Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS Kohji Hosokawa, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Charles Mackin, Andrea Fasoli, Alexander M. Friz, An Chen, Jose Luquin, Katherine Spoon, Geoffrey W. Burr, Scott C. Lewis
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
2021	J	`jnl`	Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander M. Friz, Pritish Narayanan, Milos Stanisavljevic, Geoffrey W. Burr
2020	—	`conf`	Accelerating Deep Neural Networks with Analog Memory Devices. AICAS Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander M. Friz, Geoffrey W. Burr
2020	—	`conf`	Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Katie Spoon, Andrea Fasoli, An Chen, Alexander M. Friz, Robert M. Shelby, Geoffrey W. Burr
2020	C	`conf`	Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr
2019	J	`jnl`	A role for analogue memory in AI hardware. Nat. Mach. Intell. Geoffrey W. Burr
2019	J	`jnl`	AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. Hung-Yang Chang, Pritish Narayanan, Scott C. Lewis, Nathan C. P. Farinha, Kohji Hosokawa, Charles Mackin, Hsinyu Tsai, Stefano Ambrogio, An Chen, Geoffrey W. Burr
2019	J	`jnl`	Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
2019	—	`conf`	Non-filamentary non-volatile memory elements as synapses in neuromorphic systems. NVMTS Alessandro Fumarola, Yusuf Leblebici, Pritish Narayanan, Robert M. Shelby, L. L. Sanchez, Geoffrey W. Burr, Kibong Moon, J. Jang, Hyunsang Hwang, Severin Sidler
2019	—	`conf`	Reliability Challenges with Materials for Analog Computing. IRPS Eduard A. Cartier, Wanki Kim, Nanbo Gong, Tayfun Gokmen, Martin M. Frank, Douglas M. Bishop, Youngseok Kim, Seyoung Kim, Takashi Ando, Ernest Y. Wu, Praneet Adusumilli, John Rozen, Paul M. Solomon, Wilfried Haensch, Matthew J. BrightSky, Abu Sebastian, Geoffrey W. Burr, Vijay Narayanan
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
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	C	`conf`	Neuromorphic devices and architectures for next-generation cognitive computing. ISCAS Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa
2017	C	`conf`	Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays. ISCAS Pritish Narayanan, Lucas L. Sanches, Alessandro Fumarola, Robert M. Shelby, Stefano Ambrogio, Jun-Woo Jang, Hyunsang Hwang, Yusuf Leblebici, Geoffrey W. Burr
2017	J	`jnl`	Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory. IBM J. Res. Dev. Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, Scott C. Lewis, Robert M. Shelby, Geoffrey W. Burr
2016	—	`conf`	Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs. ICRC Alessandro Fumarola, Pritish Narayanan, Lucas L. Sanches, Severin Sidler, Jun-Woo Jang, Kibong Moon, Robert M. Shelby, Hyunsang Hwang, Geoffrey W. Burr
2016	J	`jnl`	Circuit-Level Benchmarking of Access Devices for Resistive Nonvolatile Memory Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. Pritish Narayanan, Geoffrey W. Burr, Kumar Virwani, Bülent N. Kurdi
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
2016	J	`jnl`	Recent Progress in Phase-Change Memory Technology. IEEE J. Emerg. Sel. Topics Circuits Syst. Geoffrey W. Burr, Matthew J. BrightSky, Abu Sebastian, Huai-Yu Cheng, Jau-Yi Wu, Sangbum Kim, Norma E. Sosa, Nikolaos Papandreou, Hsiang-Lan Lung, Haralampos Pozidis, Evangelos Eleftheriou, Chung Hon Lam
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	J	`jnl`	Nanoscale electronic synapses using phase change devices. ACM J. Emerg. Technol. Comput. Syst. Bryan L. Jackson, Bipin Rajendran, Gregory S. Corrado, Matthew J. Breitwisch, Geoffrey W. Burr, Roger Cheek, Kailash Gopalakrishnan, Simone Raoux, Charles T. Rettner, Alvaro Padilla, Alejandro G. Schrott, Rohit S. Shenoy, Bülent N. Kurdi, Chung Hon Lam, Dharmendra S. Modha
2008	J	`jnl`	Overview of candidate device technologies for storage-class memory. IBM J. Res. Dev. Geoffrey W. Burr, Bülent N. Kurdi, J. Campbell Scott, Chung Hon Lam, Kailash Gopalakrishnan, Rohit S. Shenoy
2008	J	`jnl`	Phase-change random access memory: A scalable technology. IBM J. Res. Dev. Simone Raoux, Geoffrey W. Burr, Matthew J. Breitwisch, Charles T. Rettner, Yi-Chou Chen, Robert M. Shelby, Martin Salinga, Daniel Krebs, Shih-Hung Chen, Hsiang-Lan Lung, Chung Hon Lam
2000	J	`jnl`	Holographic data storage technology. IBM J. Res. Dev. Jonathan J. Ashley, Maria-Pilar Bernal, Geoffrey W. Burr, Hans Coufal, Harald Guenther, John A. Hoffnagle, C. Michael Jefferson, Brian H. Marcus, Roger M. Macfarlane, Robert M. Shelby, Glenn T. Sincerbox
1998	J	`jnl`	Holographic Data Storage. Computer Demetri Psaltis, Geoffrey W. Burr