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ORCIDGeoffrey W. Burr
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2020 – today
- 2023
[j16]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:
An analog-AI chip for energy-efficient speech recognition and transcription. Nat. 620(7975): 768-775 (2023)- [j15]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): 114-127 (2023) - [c17]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: 1-10 - [c16]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: 1-5 - [c15]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:
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits 2023: 1-2 - [i1]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:
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR abs/2302.08469 (2023) - 2022
- [j14]Geoffrey W. Burr, Sukhwan Lim, Boris Murmann, Rangharajan Venkatesan, Marian Verhelst:
Fair and Comprehensive Benchmarking of Machine Learning Processing Chips. IEEE Des. Test 39(3): 18-27 (2022) - [c14]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:
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS 2022: 3319-3323 - 2021
- [j13]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:
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. 15: 675741 (2021) - [c13]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: 1-6 - [c12]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:
Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS 2021: 1-5 - 2020
- [c11]Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander M. Friz, Geoffrey W. Burr:
Accelerating Deep Neural Networks with Analog Memory Devices. AICAS 2020: 149-152 - [c10]Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Katie Spoon, Andrea Fasoli, An Chen, Alexander M. Friz, Robert M. Shelby, Geoffrey W. Burr:
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS 2020: 1-10 - [c9]Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr:
Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j12]Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan:
Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 367-376 (2019) - [j11]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:
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. 63(6): 8:1-8:14 (2019) - [j10]Geoffrey W. Burr:
A role for analogue memory in AI hardware. Nat. Mach. Intell. 1(1): 10-11 (2019) - [c8]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:
Reliability Challenges with Materials for Analog Computing. IRPS 2019: 1-10 - [c7]Alessandro Fumarola, Yusuf Leblebici, Pritish Narayanan, Robert M. Shelby, L. L. Sanchez, Geoffrey W. Burr, Kibong Moon, J. Jang, Hyunsang Hwang, Severin Sidler:
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems. NVMTS 2019: 1-6 - 2018
- [j9]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): 60-67 (2018) - 2017
- [j8]Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, Scott C. Lewis, Robert M. Shelby, Geoffrey W. Burr:
Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory. IBM J. Res. Dev. 61(4-5): 11:1-11:11 (2017) - [c6]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: 1-8 - [c5]Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa:
Neuromorphic devices and architectures for next-generation cognitive computing. ISCAS 2017: 1-4 - [c4]Pritish Narayanan, Lucas L. Sanches, Alessandro Fumarola, Robert M. Shelby, Stefano Ambrogio, Jun-Woo Jang, Hyunsang Hwang, Yusuf Leblebici, Geoffrey W. Burr:
Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays. ISCAS 2017: 1-4 - 2016
- [j7]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:
Recent Progress in Phase-Change Memory Technology. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 146-162 (2016) - [j6]Pritish Narayanan, Geoffrey W. Burr, Kumar Virwani, Bülent N. Kurdi:
Circuit-Level Benchmarking of Access Devices for Resistive Nonvolatile Memory Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(3): 330-338 (2016) - [c3]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: 440-443 - [c2]Alessandro Fumarola, Pritish Narayanan, Lucas L. Sanches, Severin Sidler, Jun-Woo Jang, Kibong Moon, Robert M. Shelby, Hyunsang Hwang, Geoffrey W. Burr:
Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs. ICRC 2016: 1-8 - 2015
- [c1]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: 6 - 2013
- [j5]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:
Nanoscale electronic synapses using phase change devices. ACM J. Emerg. Technol. Comput. Syst. 9(2): 12:1-12:20 (2013)
2000 – 2009
- 2008
- [j4]Geoffrey W. Burr, Bülent N. Kurdi, J. Campbell Scott, Chung Hon Lam, Kailash Gopalakrishnan, Rohit S. Shenoy:
Overview of candidate device technologies for storage-class memory. IBM J. Res. Dev. 52(4-5): 449-464 (2008) - [j3]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:
Phase-change random access memory: A scalable technology. IBM J. Res. Dev. 52(4-5): 465-480 (2008) - 2000
- [j2]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:
Holographic data storage technology. IBM J. Res. Dev. 44(3): 341-368 (2000)
1990 – 1999
- 1998
- [j1]Demetri Psaltis, Geoffrey W. Burr:
Holographic Data Storage. Computer 31(2): 52-60 (1998)
Coauthor Index
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