Principles of high-perfomance processor design : for high performance computing, deep neural networks and data science

• Material Type: 図書
• ISBN: 9783030768706 hardcover; 3030768708 hardcover
• Title: Principles of high-perfomance processor design : for high performance computing, deep neural networks and data science
• Author/Editor: Junichiro Makino
• Author Heading: 牧野, 淳一郎, 1963- マキノ, ジュンイチロウ, 1963- ( 00741820 )Authorities
• Publication, Distribution, etc.: Cham, Switzerland : Springer (出版)
• Publication Date: [2021]; 著作権日付 : ©2021
• Publication Date (W3CDTF): 2021
• Extent: xiv, 160 pages
• Other physical details: illustrations (some color)
• Size: 25 cm
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Computer architecture; High performance computing; Neural networks (Computer science); Computer architecture.; High performance computing.
• LCC: QA76.9.A73
• DDC: 004.2/2
• NDLC: M154
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: M154-D29
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031502591; http://id.ndl.go.jp/bib/031502591
• OCLC No.: 1247843086; https://www.worldcat.org/oclc/1247843086
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: IntroductionTraditional approaches and their limitationsThe lower limit of energy consumption...
• Summary, etc.: This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many text...