System-on-Chip architectures for data analytics

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

研究成果: Chapter

摘要

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.

原文English
主出版物標題Handbook of Signal Processing Systems
發行者Springer International Publishing
頁面543-575
頁數33
ISBN(電子)9783319917344
ISBN(列印)9783319917337
DOIs
出版狀態Published - 2018 十月 13

指紋

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)

引用此文

Chris Lee, G. G., Chen, C. F., & Wang, T. P. (2018). System-on-Chip architectures for data analytics. 於 Handbook of Signal Processing Systems (頁 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. 頁 543-575
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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.

研究成果: Chapter

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