Showing 1 - 7 results of 7 for search 'Pritish Narayanan', query time: 0.03s Refine Results
  1. 1
    Exploring the Design Space for Crossbar Arrays Built With Mixed-Ionic-Electronic-Conduction (MIEC) Access Devices

    Exploring the Design Space for Crossbar Arrays Built With Mixed-Ionic-Electronic-Conduction (MIEC) Access Devices by Pritish Narayanan, Geoffrey W. Burr, Rohit S. Shenoy, Samantha Stephens, Kumar Virwani, Alvaro Padilla, Bulent N. Kurdi, Kailash Gopalakrishnan

    Published 2015-01-01
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  2. 2
    Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr<sub>0.7</sub>Ca<sub>0.3</sub>MnO<sub>3</sub> Material Improvements and Device Measurements

    Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr<sub>0.7</sub>Ca<sub>0.3</sub>MnO<sub>3</sub> Material Improvements and Device Measurements by Kibong Moon, Alessandro Fumarola, Severin Sidler, Junwoo Jang, Pritish Narayanan, Robert M. Shelby, Geoffrey W. Burr, Hyunsang Hwang

    Published 2018-01-01
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  3. 3
    Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr<sub>0.7</sub>Ca<sub>0.3</sub>MnO<sub>3</sub> Device Characteristics on Neural Network Training Accuracy

    Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr<sub>0.7</sub>Ca<sub>0.3</sub>MnO<sub>3</sub> Device Characteristics on Neural Netw... by Alessandro Fumarola, Severin Sidler, Kibong Moon, Junwoo Jang, Robert M. Shelby, Pritish Narayanan, Yusuf Leblebici, Hyunsang Hwang, Geoffrey W. Burr

    Published 2018-01-01
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  4. 4
    Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

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

    Published 2021-07-01
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  5. 5
    Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

    Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators by 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

    Published 2023-08-01
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  6. 6
    Optimised weight programming for analogue memory-based deep neural networks

    Optimised weight programming for analogue memory-based deep neural networks by Charles Mackin, Malte J. Rasch, An Chen, Jonathan Timcheck, Robert L. Bruce, Ning Li, Pritish Narayanan, Stefano Ambrogio, Manuel Le Gallo, S. R. Nandakumar, Andrea Fasoli, Jose Luquin, Alexander Friz, Abu Sebastian, Hsinyu Tsai, Geoffrey W. Burr

    Published 2022-06-01
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  7. 7
    Neuromorphic computing using non-volatile memory

    Neuromorphic computing using non-volatile memory by Geoffrey W. Burr, Robert M. Shelby, Abu Sebastian, Sangbum Kim, Seyoung Kim, Severin Sidler, Kumar Virwani, Masatoshi Ishii, Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Irem Boybat, Manuel Le Gallo, Kibong Moon, Jiyoo Woo, Hyunsang Hwang, Yusuf Leblebici

    Published 2017-01-01
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