Showing 1 - 20 results of 157 for search 'optimal analog computing', query time: 0.09s Refine Results
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    Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

    Published 2024-10-01
    “…This method has been proven to be highly effective for topology optimization in the design of analog circuits. Furthermore, this method can produce a structure with excellent optimization performance at a less computational cost owing to the use of global optimization.…”
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    Design Strategies of Capacitor‐Based Synaptic Cell for High‐Efficiency Analog Neural Network Training by Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung‐Min Lee, Yoonyoung Chung, Junwoo Son, Yong‐Young Noh, Seyoung Kim

    Published 2025-06-01
    “…Analog in‐memory computing, leveraging resistive switching cross‐point devices known as resistive processing units (RPUs), offers substantial improvements in the performance and energy efficiency of deep neural network (DNN) training. …”
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    Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

    Published 2020-04-01
    “…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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    A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking by Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti

    Published 2024-01-01
    “…This article presents a readout scheme for analog in-memory computing (AIMC) based on an embedded phase-change memory (ePCM). …”
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    Communication optimization method of digital-analog hybrid simulation system based on min-cut partition by Li Yiyuan, Mu Qing, Xue Wei

    Published 2022-01-01
    “…Complex power network topology and hard real-time simulation put forward high requirements for computing performance. At present, digital-analog hybrid simulation mainly uses parallel computing technology to improve computing performance. …”
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    Freely Selective Analog and Digital Resistive Switching Behavior of In2Se3 Devices for Storage and Neuromorphic Applications by Siying Tian, Changhao Wang, Yuanjie Wang, Honghao Wang, Chenxi Gao, Weisen Hu, Jia Wei, Fengling Chen, Dapeng Sun, Xu Zheng, Chaobo Li, Chujun Yin

    Published 2025-06-01
    “…Here, a multi‐functional device integrated with analog and digital resistive switching behavior in a simple structure is reported, achieving functions of freely selective non‐volatile digital storage, artificial synaptic behavior based on ferroelectric polarization‐inducing analog resistive switching behavior, neural network computing, and reconfigurable logic functions. …”
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    Using artificial intelligence methods for the optimal synthesis of reversible networks by Taras Kyryliuk, Mykhailo Palahuta, Vitaly Deibuk

    Published 2024-11-01
    “…The efficiency of the reversible device synthesis was evaluated using the proposed implementation of the genetic algorithm and the ant colony optimization algorithm. The obtained results were compared to existing analogs and verified using the Qiskit framework in the IBM quantum computing laboratory. …”
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    A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures by Fernando M Quintana, Maryada, Pedro L Galindo, Elisa Donati, Giacomo Indiveri, Fernando Perez-Peña

    Published 2025-01-01
    “…Developing dedicated mixed-signal neuromorphic computing systems optimized for real-time sensory-processing in extreme edge-computing applications requires time-consuming design, fabrication, and deployment of full-custom neuromorphic processors. …”
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