Data Prefetching Techniques in Computer Systems

Data Prefetching Techniques in Computer Systems

1st Edition - March 1, 2022
This is the Latest Edition
  • Editor: Pejman Lotfi-Kamran
  • Hardcover ISBN: 9780323851190

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Description

Data Prefetching Techniques in Computer Systems, Volume 125 provides an in-depth review of the latest progress on data prefetching research. Topics covered in this volume include temporal prefetchers, spatial prefetchers, non-spatial-temporal prefetchers, and evaluation of prefetchers, with insights on possible future research direction. Specific chapters in this release include Introduction to Data Prefetching, Spatial Prefetching Techniques, Temporal Prefetching Techniques, Domino prefetching scheme, Bingo prefetching method, and The Champion prefetcher.

Key Features

  • Provides accurate reviews of various topics in data prefetching
  • Includes useful graphic materials to facilitate understanding of topics
  • Presents the latest insights and future perspectives on covered data prefetchers

Readership

Computer architecture students, researchers, and practitioners, computer systems researchers, and practitioners who are particularly interested in data prefetching

Table of Contents

  • 1. Introduction to Data Prefetching
    2. Spatial Prefetching Techniques
    3. Temporal Prefetching Techniques
    4. Domino prefetching scheme
    5. Bingo prefetching method
    6. The Champion prefetcher

Product details

  • No. of pages: 310
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: March 1, 2022
  • Imprint: Academic Press
  • Hardcover ISBN: 9780323851190
  • About the Serial Volume Editor

    Pejman Lotfi-Kamran

    Pejman Lotfi-Kamran is an associate professor of computer science, the head of the School of Computer Science, and the director of Turin Cloud Services at the Institute for Research in Fundamental Sciences (IPM). His research interests include computer architecture, computer systems, approximate computing, and cloud computing. His work on scale-out server processor design lays the foundation for Cavium ThunderX. Lotfi-Kamran has a Ph.D. in computer science from the Ecole Polytechnique Federale de Lausanne (EPFL). He received his MS and BS in computer engineering from the University of Tehran. He is a member of the IEEE and the ACM.

    Affiliations and Expertise

    Associate Professor of Computer Science, the head of the School of Computer Science, and the director of Turin Cloud Services at the Institute for Research in Fundamental Sciences (IPM)