CIMulator: A Comprehensive Simulation Platform for Computing-In-Memory Circuit Macros with Low Bit-Width and Real Memory Materials

This paper presents a simulation platform, namely CIMulator, for quantifying the efficacy of various synaptic devices in neuromorphic accelerators for different neural network architectures. Nonvolatile memory devices, such as resistive random-access memory, ferroelectric field-effect transistor, an...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Hoang-Hiep Le, Md Aftab Baig, Wei-Chen, Hong, Cheng-Hsien Tsai, Cheng-Jui Yeh, Fu-Xiang, Liang, I-Ting, Huang, Tsai, Wei-Tzu, Ting-Yin, Cheng, De, Sourav, Chen, Nan-Yow, Wen-Jay, Lee, Ing-Chao, Lin, Da-Wei, Chang, Lu, Darsen D
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer architecture Datasets Ferroelectricity Field effect transistors Handwriting recognition Memory devices Multilayer perceptrons Pattern recognition Semiconductor devices Simulation Static random access memory Training
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