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Filtering by: Keyword compute in memory (CIM) Keyword computer architecture Resource type Dissertation Subject Computer engineering Subject Engineering

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1. Low-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning

Description:: While the entire silicon industry has been blooming under Moore’s Law for decades, conventional digital implementation is approaching the “stall” of Moore’s Law due to many physical design limitations. Technology innovation now is going to take a different direction. Given the increasing demand for emerging applications' computational capacity, it is...
Keyword:: computer architecture, mixed-signal time-domain computing, analog computing, machine learning , compute in memory (CIM), and image processing
Subject:: Electrical engineering, Computer engineering, and Engineering
Creator:: Chen, Zhengyu
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15414 and etdadmin_upload_780953

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1. Low-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning