System-on-Chip architectures for data analytics

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationHandbook of Signal Processing Systems
PublisherSpringer International Publishing
Pages543-575
Number of pages33
ISBN (Electronic)9783319917344
ISBN (Print)9783319917337
DOIs
Publication statusPublished - 2018 Oct 13

Fingerprint

Artificial intelligence
Intelligent systems
Learning systems
Systems analysis
System-on-chip
Industry
Internet of things
Deep learning

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science(all)

Cite this

Chris Lee, G. G., Chen, C. F., & Wang, T. P. (2018). System-on-Chip architectures for data analytics. In Handbook of Signal Processing Systems (pp. 543-575). Springer International Publishing. https://doi.org/10.1007/978-3-319-91734-4_15
Chris Lee, Gwo Giun ; Chen, Chun Fu ; Wang, Tai Ping. / System-on-Chip architectures for data analytics. Handbook of Signal Processing Systems. Springer International Publishing, 2018. pp. 543-575
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Chris Lee, GG, Chen, CF & Wang, TP 2018, System-on-Chip architectures for data analytics. in Handbook of Signal Processing Systems. Springer International Publishing, pp. 543-575. https://doi.org/10.1007/978-3-319-91734-4_15

System-on-Chip architectures for data analytics. / Chris Lee, Gwo Giun; Chen, Chun Fu; Wang, Tai Ping.

Handbook of Signal Processing Systems. Springer International Publishing, 2018. p. 543-575.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Chris Lee GG, Chen CF, Wang TP. System-on-Chip architectures for data analytics. In Handbook of Signal Processing Systems. Springer International Publishing. 2018. p. 543-575 https://doi.org/10.1007/978-3-319-91734-4_15