Programming massively parallel processors

• Verfasst von: Hwu, Wen-mei W. [VerfasserIn]
• Verfasst von: Kirk, David [VerfasserIn]
• Verfasst von: El Hajj, Izzat [VerfasserIn]
• Titel: Programming massively parallel processors
• Titelzusatz: a hands-on approach
• Verf.angabe: Wen-Mei W. Hwu (University of Illinois at Urbana-Champaign and NVIDIA, Champaign, IL, United States), David B. Kirk (Formerly NVIDIA, United States), Izzat El Hajj (American University of Beirut, Beirut, Lebanon)
• Ausgabe: Fourth edition
• Verlagsort: Cambridge, MA
• Verlag: Morgan Kaufmann, Elsevier
• E-Jahr: 2023
• Jahr: [2023]
• Umfang: 1 Online-Ressource (xxviii, 551 Seiten)
• Illustrationen: Illustrationen, Diagramme
• Fussnoten: Previous edition: published as by David B. Kirk, Wen-mei W. Hwu. Amsterdam: Elsevier, 2017 ; Includes bibliographical references and index
• ISBN: 978-0-323-98463-8
• DOI: doi:10.1016/C2020-0-02969-5
• Schlagwörter: (s)Paralleles Programm / (s)Mehrprozessorsystem
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Hwu, Wen-mei W.: Programming massively parallel processors. - Fourth edition. - Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, 2023. - xxviii, 551 Seiten
• RVK-Notation: ST 151
• RVK-Notation: ST 150
• K10plus-PPN: 1841208116
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.