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Optimization of Analog Accelerators for Deep Neural Networks Inference.

, , , , , , , , и . ISCAS, стр. 1-5. IEEE, (2020)

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Stefano Meini

Stefano Cracolici

Giovanni Stefano

Stefano Cardanobile

Stefano Carignano

 

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Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique., , , , , , , , , и 1 other автор(ы). ICRC, стр. 1-8. IEEE, (2017)Analytical modelling and leakage optimization in complementary resistive switch (CRS) crossbar arrays., , , и . ESSDERC, стр. 242-245. IEEE, (2014)Optimization of Analog Accelerators for Deep Neural Networks Inference., , , , , , , , и . ISCAS, стр. 1-5. IEEE, (2020)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , и 13 other автор(ы). ISCAS, стр. 1-5. IEEE, (2023)Neuromorphic devices and architectures for next-generation cognitive computing., , , , , , и . ISCAS, стр. 1-4. IEEE, (2017)Accelerating Deep Neural Networks with Analog Memory Devices., , , , , , , , и . AICAS, стр. 149-152. IEEE, (2020)Modeling of reliability and neuromorphic application of resistive switching devices.. Polytechnic University of Milan, Italy, (2016)True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices., , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 5 (2): 214-221 (2015)Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation., , , , , , , , , и 21 other автор(ы). IRPS, стр. 1-6. IEEE, (2021)Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges., , , , , , , , , и . IRPS, стр. 1-10. IEEE, (2020)