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

no code implementations • 26 Jun 2023 • Hoang-Hiep Le, Md. Aftab Baig, Wei-Chen Hong, Cheng-Hsien Tsai, Cheng-Jui Yeh, Fu-Xiang Liang, I-Ting Huang, Wei-Tzu Tsai, Ting-Yin Cheng, Sourav De, Nan-Yow Chen, Wen-Jay Lee, Ing-Chao Lin, Da-Wei Chang, Darsen D. Lu

This paper presents a simulation platform, namely CIMulator, for quantifying the efficacy of various synaptic devices in neuromorphic accelerators for different neural network architectures.

Neuromorphic Computing with Ferroelectric FinFETs in the Presence of Temperature, Process Variation, Device Aging and Flicker Noise

no code implementations • 5 Mar 2021 • Sourav De, Bo-Han Qiu, Wei-Xuan Bu, Md. Aftab Baig, Chung-Jun Su, Yao-Jen Lee, Darsen Lu

This paper reports a comprehensive study on the impacts of temperature-change, process variation, flicker noise and device aging on the inference accuracy of pre-trained all-ferroelectric (FE) FinFET deep neural networks.

Neural Network simulation

Alleviation of Temperature Variation Induced Accuracy Degradation in Ferroelectric FinFET Based Neural Network

no code implementations • 3 Mar 2021 • Sourav De, Hoang-Hiep Le, Md. Aftab Baig, Yao-Jen Lee, Darsen D. Lu, Thomas Kämpfe

This paper reports the impacts of temperature variation on the inference accuracy of pre-trained all-ferroelectric FinFET deep neural networks, along with plausible design techniques to abate these impacts.

Handwritten Digit Recognition