CUDA Programming : A Developer's Guide to Parallel Computing with GPUs

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Title: CUDA Programming : A Developer's Guide to Parallel Computing with GPUs
Description: If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. - Comprehensive introduction to parallel programming with CUDA, for readers new to both - Detailed instructions help readers optimize the CUDA software development kit - Practical techniques illustrate working with memory, threads, algorithms, resources, and more - Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets - Each chapter includes exercises to test reader knowledge
Authors: Shane Cook
Resource Type: eBook.
Subjects: Parallel programming (Computer science), Parallel processing (Electronic computers), Application software--Development, Graphics processing units, Computer architecture
Categories: COMPUTERS / Programming / General, COMPUTERS / Distributed Systems / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 485048
RelevancyScore: 1051
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: CUDA Programming : A Developer's Guide to Parallel Computing with GPUs
– Name: Abstract
  Label: Description
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  Data: If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. - Comprehensive introduction to parallel programming with CUDA, for readers new to both - Detailed instructions help readers optimize the CUDA software development kit - Practical techniques illustrate working with memory, threads, algorithms, resources, and more - Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets - Each chapter includes exercises to test reader knowledge
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  Data: <searchLink fieldCode="AR" term="%22Shane+Cook%22">Shane Cook</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Parallel+programming+%28Computer+science%29%22">Parallel programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+processing+%28Electronic+computers%29%22">Parallel processing (Electronic computers)</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software--Development%22">Application software--Development</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 004.35
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Parallel programming (Computer science)
        Type: general
      – SubjectFull: Parallel processing (Electronic computers)
        Type: general
      – SubjectFull: Application software--Development
        Type: general
      – SubjectFull: Graphics processing units
        Type: general
      – SubjectFull: Computer architecture
        Type: general
    Titles:
      – TitleFull: CUDA Programming : A Developer's Guide to Parallel Computing with GPUs
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Shane Cook
      – PersonEntity:
          Name:
            NameFull: Shane Cook
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780124159334
            – Type: isbn-electronic
              Value: 9780124159884
          Titles:
            – TitleFull: CUDA Programming : A Developer's Guide to Parallel Computing with GPUs
              Type: main
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