Čájehuvvojit 1 - 6 oktiibuot 6 bohtosis ohcui Pritish Narayanan', ohcanáigi: 0,03s Aiddostahte ozu
  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 Dahkki Pritish Narayanan, Geoffrey W. Burr, Rohit S. Shenoy, Samantha Stephens, Kumar Virwani, Alvaro Padilla, Bulent N. Kurdi, Kailash Gopalakrishnan

    Almmustuhtton 2015-01-01
    Viečča ollesdeavstta
    Artihkal
  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 Dahkki Kibong Moon, Alessandro Fumarola, Severin Sidler, Junwoo Jang, Pritish Narayanan, Robert M. Shelby, Geoffrey W. Burr, Hyunsang Hwang

    Almmustuhtton 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... Dahkki Alessandro Fumarola, Severin Sidler, Kibong Moon, Junwoo Jang, Robert M. Shelby, Pritish Narayanan, Yusuf Leblebici, Hyunsang Hwang, Geoffrey W. Burr

    Almmustuhtton 2018-01-01
    Viečča ollesdeavstta
    Artihkal
  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 Dahkki 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

    Almmustuhtton 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 Dahkki 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

    Almmustuhtton 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 Dahkki 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

    Almmustuhtton 2022-06-01
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