Description

Book Synopsis
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.
 

Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. 
 
The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload chara

High Performance Big Data Computing Scientific

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    £49.40

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    RRP £52.00 – you save £2.60 (5%)

    Order before 4pm today for delivery by Mon 13 Jul 2026.

    A Hardback by Dhabaleswar K. Panda, Xiaoyi Lu

    10 in stock

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      Publisher: MIT Press Ltd
      Publication Date: 02/08/2022
      ISBN13: 9780262046855, 978-0262046855
      ISBN10: 0262046857
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis
      An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.
       

      Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. 
       
      The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload chara

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