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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
Transparent Memory Hierarchy Compression and Migration

Description:

Embedded systems are ubiquitous. Although many aspects of embedded system design and synthesis have received significant research attention, comparatively less attention has been given to new ideas in memory hierarchy design. This dissertation presents several new operating system and architecture techniques that use elements of the virtual and physical memory...

Keyword:

memory hierarchy, compression, computer architecture, embedded system, and operating system

Subject:

Computer Science

Creator:

Lei Yang

Owner:

Scholarly Digital Publishing

Date Uploaded:

09/20/2018

Date Modified:

09/20/2018

Date Created:

2008-09-11

Resource Type:

Dissertation

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Transparent Memory Hierarchy Compression and Migration

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