Survey of Deep Learning Accelerators for Edge and Emerging Computing
Shahanur Alam,
Chris Yakopcic,
Qing Wu
et al.
Abstract:The unprecedented progress in artificial intelligence (AI), particularly in deep learning algorithms with ubiquitous internet connected smart devices, has created a high demand for AI computing on the edge devices. This review studied commercially available edge processors, and the processors that are still in industrial research stages. We categorized state-of-the-art edge processors based on the underlying architecture, such as dataflow, neuromorphic, and processing in-memory (PIM) architecture. The processo… Show more
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