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A 22nm 3.5TOPS/W Flexible Micro-Robotic Vision SoC with 2MB eMRAM for Fully-on-Chip Intelligence

Qirui Zhang, Hyochan An, Zichen Fan, Zhehong Wang, Ziyun Li, Guanru Wang, Hun-Seok Kim, David Blaauw, Dennis Sylvester

发表年份
2022
引用次数
16

摘要

We present a highly flexible micro-robotic vision SoC featuring a hybrid Processing Element (PE) for efficient processing of both Convolutional Neural Network (CNN) and non-CNN vision tasks with 2MB embedded MRAM for retentive fully-on-chip weight storage. Fabricated in 22nm, the design achieves 0.22nJ/pix for Harris corner detection (a non-CNN vision task) and 3.5TOPS/W (INT16) for CNN, a 60% efficiency improvement over state-of-the-art NVM-based NN ASICs.

关键词

Convolutional neural networkComputer scienceSystem on a chipMachine visionChipArtificial intelligenceTask (project management)Embedded systemComputer hardwareEngineering

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