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Machine learning in VLSI computer-aided design

Ibrahim (Abe) M. Elfadel, Duane S. Boning, Xin Li, editors (Springer Nature, 2019)

 Abstrak

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

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 Metadata

No. Panggil : e20509194
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer Nature, 2019
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xxii, 694 pages : illustration
Tautan: https://doi.org/10.1007/978-3-030-04666-8
Lembaga Pemilik:
Lokasi:
  • Ketersediaan
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No. Panggil No. Barkod Ketersediaan
e20509194 02-20-117147312 TERSEDIA
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