An Approach of 3D NAND Flash Based Nonvolatile Computing-In-Memory (nvCIM) Accelerator for Deep Neural Networks (DNNs) with Calibration and Read Disturb Analysis

Po-Kai Hsu
Po-Kai Hsu
Chieh Roger Lo
Chieh Roger Lo
Ming-Liang Wei
Ming-Liang Wei
Keh-Chung Wang
Keh-Chung Wang

international memory workshop, 2020.

Cited by: 0|Bibtex|Views1|DOI:https://doi.org/10.1109/IMW48823.2020.9108116
Other Links: academic.microsoft.com

Abstract:

Deep neural networks (DNNs) are very popular these years owing to their powerful capability in many artificial intelligence (AI) applications of classification and recognition. The computing-in-memory (CIM) is an emerging method that utilizes memory arrays directly as the computing units to accelerate the DNN calculation. Different from t...More

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