Exploring the design space for resistive nonvolatile memory crossbar arrays with mixed ionic-electronic-conduction (MIEC)-based Access Devices
- Pritish Narayanan
- Geoffrey W. Burr
- et al.
- 2014
- DRC 2014
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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51 results for Pritish Narayanan
Experimental prototyping of beyond-CMOS nanowire computing fabrics
- Mostafizur Rahman
- Pritish Narayanan
- et al.
- 2013
- NANOARCH 2013
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
- Pritish Narayanan
- Stefano Ambrogio
- et al.
- 2021
- IEEE T-ED
Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance
- Giorgio Cristiano
- Massimo Giordano
- et al.
- 2018
- Journal of Applied Physics
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
- Alessandro Fumarola
- S. Sidler
- et al.
- 2018
- IEEE J-EDS
Bidirectional non-filamentary RRAM as an analog neuromorphic synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 material improvements and device measurements
- K. Moon
- Alessandro Fumarola
- et al.
- 2018
- IEEE J-EDS
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- Shubham Jain
- Hsinyu Tsai
- et al.
- 2023
- IEEE Transactions on VLSI Systems
Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
- Sanjay Kariyappa
- Hsinyu Tsai
- et al.
- 2021
- IEEE T-ED
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
- H. Y. Chang
- Geoffrey W. Burr
- et al.
- 2019
- IBM J. Res. Dev