Geoffrey W. Burr

Principal Researcher, IBM Research-Almaden, International Business Machines

Joined

September 2024

Names

Geoffrey W. Burr (Preferred)

Emails

****@us.ibm.com (Confirmed)

Personal Links

Career & Education History

Principal Researcher

IBM Research-Almaden, International Business Machines (ibm.com)

2014 – Present

Researcher

IBM Research-Almaden, International Business Machines (ibm.com)

1999 – 2014

Postdoc

IBM Research-Almaden, International Business Machines (ibm.com)

1996 – 1999

PhD student

Electrical Engineering, California Institute of Technology (caltech.edu)

1993 – 1996

MS student

Electrical Engineering, California Institute of Technology (caltech.edu)

1991 – 1993

Undergrad student

Electrical Engineering, State University of New York at Buffalo (buffalo.edu)

1986 – 1991

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang
- ICLR 2026 Poster
- Readers: Everyone
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory
William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
- IEEE Trans. Parallel Distributed Syst. 2025
- Readers: Everyone
Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing
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
- Nat. Comput. Sci. 2025
- Readers: Everyone
An analog-AI chip for energy-efficient speech recognition and transcription
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 et al. (4 additional authors not shown)
- Nat. 2023
- Readers: Everyone
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)
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 et al. (5 additional authors not shown)
- VLSI Technology and Circuits 2023
- Readers: Everyone
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)
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 et al. (1 additional authors not shown)
- IRPS 2023
- Readers: Everyone
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
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 et al. (3 additional authors not shown)
- ISCAS 2023
- Readers: Everyone
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
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 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
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
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- IEEE Trans. Very Large Scale Integr. Syst. 2023
- Readers: Everyone
Fair and Comprehensive Benchmarking of Machine Learning Processing Chips
Geoffrey W. Burr, Sukhwan Lim, Boris Murmann, Rangharajan Venkatesan, Marian Verhelst
- IEEE Des. Test 2022
- Readers: Everyone

View all 37 publications

Co-Authors

View all 150 co-authors