System-on-Chip architectures for data analytics

Gwo Giun Chris Lee; Chun Fu Chen; Tai Ping Wang

doi:10.1007/978-3-319-91734-4_15

System-on-Chip architectures for data analytics

Gwo Giun Chris Lee, Chun Fu Chen, Tai Ping Wang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Artificial Intelligence (AI) in Industry 4.0, intelligent transportation system, intelligent biomedical systems and healthcare, etc., plays an important role requiring complex algorithms. Deep learning in machine learning, for example, is a popular AI algorithm with high computational demands on EDGE platforms in Internet-of-Things applications. This chapter introduces the Algorithm/Architecture Co-Design system design methodology for concurrent design of an algorithm with highly efficient, flexible and low power architecture in constituting the Smart System-on-Chip design.

Original language	English
Title of host publication	Handbook of Signal Processing Systems
Publisher	Springer International Publishing
Pages	543-575
Number of pages	33
ISBN (Electronic)	9783319917344
ISBN (Print)	9783319917337
DOIs	https://doi.org/10.1007/978-3-319-91734-4_15
Publication status	Published - 2018 Oct 13

All Science Journal Classification (ASJC) codes

General Engineering
General Computer Science

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10.1007/978-3-319-91734-4_15

Cite this

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abstract = "Artificial Intelligence (AI) in Industry 4.0, intelligent transportation system, intelligent biomedical systems and healthcare, etc., plays an important role requiring complex algorithms. Deep learning in machine learning, for example, is a popular AI algorithm with high computational demands on EDGE platforms in Internet-of-Things applications. This chapter introduces the Algorithm/Architecture Co-Design system design methodology for concurrent design of an algorithm with highly efficient, flexible and low power architecture in constituting the Smart System-on-Chip design.",

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System-on-Chip architectures for data analytics

Abstract

All Science Journal Classification (ASJC) codes

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