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arXiv · 1811.12179

MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications

Baohua Sun·Daniel Liu·Leo Yu·Jay Li·Helen Liu·Wenhan Zhang·Terry Torng
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Abstract

We designed a device for Convolution Neural Network applications with non-volatile MRAM memory and computing-in-memory co-designed architecture. It has been successfully fabricated using 22nm technology node CMOS Si process. More than 40MB MRAM density with 9.9TOPS/W are provided. It enables multiple models within one single chip for mobile and IoT device applications.

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Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng. 2018-11-26. MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. https://arxiv.org/abs/1811.12179

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