Geoffrey W. Burr

发表

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Yusuf Leblebici, Pritish Narayanan, Stefano Ambrogio, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Circuit-Level Benchmarking of Access Devices for Resistive Nonvolatile Memory Arrays

Pritish Narayanan, Kumar Virwani, Geoffrey W. Burr, 2014, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Pixel-matched phase-conjugate readout for holographic data storage

Robert M. Shelby, Geoffrey W. Burr, 1999, Optics & Photonics.

Massively-parallel FDTD simulations to address mask electromagnetic effects in hyper-NA immersion lithography

Alan E. Rosenbluth, Geoffrey W. Burr, Jaione Tirapu Azpiroz, 2008, SPIE Advanced Lithography.

A role for analogue memory in AI hardware

Geoffrey W. Burr, G. Burr, 2019, Nat. Mach. Intell..

Equivalent-accuracy accelerated neural-network training using analogue memory

Pritish Narayanan, Stefano Ambrogio, Irem Boybat, 2018, Nature.

Large-scale rapid-access holographic memory

Demetri Psaltis, Xin An, Fai H. Mok, 1995, Other Conferences.

Phase-change random access memory: A scalable technology

Shih-Hung Chen, Daniel Krebs, Matthew J. Breitwisch, 2008, IBM J. Res. Dev..

Content-addressable holographic databases

Mark C. Jurich, Marc Riedel, Geoffrey W. Burr, 2000, SPIE Optics + Photonics.

Neuromorphic Technologies for Next-Generation Cognitive Computing

Pritish Narayanan, Stefano Ambrogio, Robert M. Shelby, 2017, 2017 IEEE International Memory Workshop (IMW).

Balancing accuracy against computation time: 3D FDTD for nanophotonics device optimization

Ardavan Farjadpour, Geoffrey W. Burr, 2005, SPIE OPTO.

Large-scale Holographic Memory: Experiment Results

Demetri Psaltis, Fai H. Mok, Geoffrey W. Burr, 1993, Conference Digest Joint International Symposium on Optical Memory and Optical Data Storage 1993.

The inner workings of phase change memory: Lessons from prototype PCM devices

Kailash Gopalakrishnan, Alvaro Padilla, John Karidis, 2010, 2010 IEEE Globecom Workshops.

Exploring the Design Space for Crossbar Arrays Built With Mixed-Ionic-Electronic-Conduction (MIEC) Access Devices

Pritish Narayanan, Kumar Virwani, Kailash Gopalakrishnan, 2015, IEEE Journal of the Electron Devices Society.

Isotropic treatment of EMF effects in advanced photomasks

Ioana Graur, Alan E. Rosenbluth, Geoffrey W. Burr, 2009, Photomask Technology.

Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique

Yusuf Leblebici, Pritish Narayanan, Stefano Ambrogio, 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).

Select Device Concepts for Crossbar Arrays

Hyunsang Hwang, Geoffrey W. Burr, R. S. Shenoy, 2016 .

Optimizing the holographic digital data storage channel

C. M. Jefferson, John A. Hoffnagle, Geoffrey W. Burr, 1998, Optics & Photonics.

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Pritish Narayanan, Kumar Virwani, Hyunsang Hwang, 2014, IEEE Transactions on Electron Devices.

Progress in read-write fast-access volume holographic data storage

Mark C. Jurich, C. M. Jefferson, Francisco Gallego, 2002, Optics + Photonics.

Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration

Pritish Narayanan, Koji Ishibashi, Stefano Ambrogio, 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Overview of candidate device technologies for storage-class memory

Kailash Gopalakrishnan, Geoffrey W. Burr, Bülent N. Kurdi, 2008, IBM J. Res. Dev..

Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response

Yusuf Leblebici, Pritish Narayanan, Hyunsang Hwang, 2016, 2016 46th European Solid-State Device Research Conference (ESSDERC).

Optimization of Conductance Change in Pr1–xCaxMnO3-Based Synaptic Devices for Neuromorphic Systems

Yoon-Ha Jeong, Hyunsang Hwang, Sangsu Park, 2015, IEEE Electron Device Letters.

Using volume holograms to search digital databases

Geoffrey W. Burr, Hans J. Coufal, Felix Grawert, 2002, Optics + Photonics.

Figure of merit for the optical aperture used in digital volume holographic data storage

Bhagavatula Vijaya Kumar, C. M. Jefferson, John A. Hoffnagle, 1998, Other Conferences.

Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs

Pritish Narayanan, Hyunsang Hwang, Jun-Woo Jang, 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).

Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues

Irem Boybat, Carmelo di Nolfo, Robert M. Shelby, 2015, 2015 IEEE International Reliability Physics Symposium.

A role for optics in AI hardware

Geoffrey W. Burr, 2019, Nature.

Coding tradeoffs for high-density holographic data storage

Geoffrey W. Burr, Brian Marcus, G. Burr, 1999, Optics & Photonics.

Nanoantennas for enhancing and confining the magnetic optical field

Fadi Issam Baida, Geoffrey W. Burr, Thierry Grosjean, 2011, Optics + Optoelectronics.

Holography for information storage and processing

Geoffrey W. Burr, 2003, SPIE Optics + Photonics.

rigger Processor for t e ZEUS alorirneter

John W. Dawson, Geoffrey W. Burr, Richard L. Talaga, 1990 .

Large-scale volume holographic storage in the long interaction length architecture

Fai H. Mok, Geoffrey W. Burr, Dernetri Psaltis, 1994, Optics & Photonics.

Improving accuracy by sub-pixel smoothing in FDTD

John D. Joannopoulos, Alejandro W. Rodriguez, Peter Bermel, 2006, SPIE Optics + Photonics.

Recent Progress in Phase-Change Memory Technology

Haralampos Pozidis, Evangelos Eleftheriou, Abu Sebastian, 2016, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Multiplexed phase-conjugate holographic storage using an intermediate buffer hologram

Mark C. Jurich, John A. Hoffnagle, Roger M. Macfarlane, 2000, SPIE Optics + Photonics.

PCM for Neuromorphic Applications: Impact of Device Characteristics on Neural Network Performance

Yusuf Leblebici, Pritish Narayanan, Irem Boybat, 2015 .

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory

Pritish Narayanan, Scott C. Lewis, Robert M. Shelby, 2017, IBM J. Res. Dev..

Tutorial: Brain-inspired computing using phase-change memory devices

Abu Sebastian, Manuel Le Gallo, Evangelos S. Eleftheriou, 2018, Journal of Applied Physics.

Holographic data storage technology

Brian H. Marcus, C. M. Jefferson, John A. Hoffnagle, 2000, IBM J. Res. Dev..

Neuromorphic technologies for next-generation cognitive computing

Pritish Narayanan, Scott C. Lewis, Stefano Ambrogio, 2017, 2017 IEEE Electron Devices Technology and Manufacturing Conference (EDTM).

Holographic Data Storage

Demetri Psaltis, Geoffrey W. Burr, D. Psaltis, 1998, Computer.

Neuromorphic devices and architectures for next-generation cognitive computing

Pritish Narayanan, Stefano Ambrogio, Robert M. Shelby, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Fair and Comprehensive Benchmarking of Machine Learning Processing Chips

Marian Verhelst, Boris Murmann, Rangharajan Venkatesan, 2022, IEEE Design & Test.

Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)

Pritish Narayanan, Scott C. Lewis, Stefano Ambrogio, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, 2021, Frontiers in Computational Neuroscience.

Nanoscale nuclei in phase change materials: Origin of different crystallization mechanisms of Ge2Sb2Te5 and AgInSbTe

Simone Raoux, Charles T. Retter, Robert M. Shelby, 2014 .

Noise in high-areal-density holographic data storage systems

Geoffrey W. Burr, Hans J. Coufal, M.-P. Bernal, 1998, Technical Digest. Summaries of Papers Presented at the Conference on Lasers and Electro-Optics. Conference Edition. 1998 Technical Digest Series, Vol.6 (IEEE Cat. No.98CH36178).

Strong Modification of Magnetic Dipole Emission through Diabolo Nanoantennas

Geoffrey W. Burr, Thierry Grosjean, Mathieu Mivelle, 2015 .

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements

Pritish Narayanan, Hyunsang Hwang, Robert M. Shelby, 2018, IEEE Journal of the Electron Devices Society.

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy

Yusuf Leblebici, Pritish Narayanan, Hyunsang Hwang, 2018, IEEE Journal of the Electron Devices Society.

Diffraction efficiency of volume gratings with finite size: Corrected analytical solution

Geoffrey W. Burr, Shiquan Tao, Bo Wang, 2004 .

Spatially and angle-multiplexed holographic random access memory

Demetri Psaltis, Fai H. Mok, Geoffrey W. Burr, 1993 .

Photonic crystal microcavity sensor for ultracompact monitoring of reaction kinetics and protein concentration

Sanja Zlatanovic, Sadik C. Esener, Geoffrey W. Burr, 2009 .

Analog optical correlation of volume holograms for searching digital databases

Geoffrey W. Burr, Hans J. Coufal, Sebastian Kobras, 1999 .

Access devices for 3 D crosspoint memorya )

Pritish Narayanan, Kumar Virwani, Hyunsang Hwang, 2014 .

Angle and space multiplexed holographic storage using the 90° geometry

Demetri Psaltis, Fai H. Mok, Geoffrey W. Burr, 1995 .

Threshold field of phase change memory materials measured using phase change bridge devices

Matthias Wuttig, Daniel Krebs, Simone Raoux, 2009 .

On the Origin of Steep $I$ – $V$ Nonlinearity in Mixed-Ionic-Electronic-Conduction-Based Access Devices

Pritish Narayanan, Kumar Virwani, Kailash Gopalakrishnan, 2015, IEEE Transactions on Electron Devices.

International Roadmap of Devices and Systems 2017 Edition: Beyond CMOS chapter.

Paul D. Franzon, Paul D. Franzon, Geoffrey W. Burr, 2018 .

High density holographic data storage despite misaligned data pages

Geoffrey W. Burr, L. Menetrier, 2002, CLEO 2002.

MIEC (mixed-ionic-electronic-conduction)-based access devices for non-volatile crossbar memory arrays

Pritish Narayanan, Kumar Virwani, Philip M. Rice, 2014 .

Observation and modeling of polycrystalline grain formation in Ge2Sb2Te5

Kumar Virwani, Alvaro Padilla, Robert M. Shelby, 2012 .

Holographic Data Storage

Demetri Psaltis, Geoffrey W. Burr, D. Psaltis, 1998, Computer.

Evidence of Crystallization–Induced Segregation in the Phase Change Material Te-Rich GST

Kumar Virwani, Alvaro Padilla, Robert M. Shelby, 2011 .

Volume holographic storage using the 90° geometry

Geoffrey W. Burr, Geoffrey W. Burr, 1996 .

Holographic-Data-Storage Materials

C. M. Jefferson, John A. Hoffnagle, Roger M. Macfarlane, 1996 .

Storage of 10,000 holograms in LiNbO 3 :Fe

Fai H. Mok, Geoffrey W. Burr, 1994 .

SET Characteristics of Phase Change Bridge Devices

Matthias Wuttig, Daniel Krebs, Simone Raoux, 2008 .

Voltage polarity effects in Ge2Sb2Te5-based phase change memory devices

Kumar Virwani, Philip M. Rice, Kailash Gopalakrishnan, 2011 .