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SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks

arXiv 2101.07864 ↗First posted 19 Jan 2021cs.LG cs.ET cs.NEcited by 0

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Abstract (arXiv)

As deep neural networks require tremendous amount of computation and memory, analog computing with emerging memory devices is a promising alternative to digital computing for edge devices. However, because of the increasing simulation time for analog computing system, it has not been explored. To overcome this issue, analytically approximated simulators are developed, but these models are inaccurate and narrow down the options for peripheral circuits for multiply-accumulate operation (MAC). In this sense, we propose a methodology, SEMULATOR (SiMULATOR by Emulating the analog computing block) which uses a deep neural network to emulate the behavior of crossbar-based analog computing system. With the proposed neural architecture, we experimentally and theoretically shows that it emulates a MAC unit for neural computation. In addition, the simulation time is incomparably reduced when it compared to the circuit simulators such as SPICE.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 19 Jan 2021.

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9 of 24 references.

References · 9

  1. 2018Neural Ordinary Differential Equationscited by 3,779
  2. 2017Defense against Adversarial Attacks Using High-Level Representation Guided Denoisercited by 329
  3. 2019Learning Neural PDE Solvers with Convergence Guaranteescited by 77
  4. 2020DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Trainingcited by 33
  5. 2018RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbarscited by 19
  6. 2019A Discussion on Solving Partial Differential Equations using Neural Networkscited by 13
  7. 2020TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systemscited by 9
  8. 2020CSM-NN: Current Source Model Based Logic Circuit Simulation -- A Neural Network Approachcited by 2
  9. 2020NN-PARS: A Parallelized Neural Network Based Circuit Simulation Frameworkcited by 1

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