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CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming

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Title: CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming
Description: CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. - Leverage the power of GPU computing with PGI's CUDA Fortran compiler - Gain insights from members of the CUDA Fortran language development team - Includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches - Includes full source code for all the examples and several case studies - Download source code and slides from the book's companion website
Authors: Gregory Ruetsch, Massimiliano Fatica
Resource Type: eBook.
Subjects: FORTRAN (Computer program language)
Categories: COMPUTERS / Interactive & Multimedia, COMPUTERS / Software Development & Engineering / General
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 605298
RelevancyScore: 1057
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1057.36352539063
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  Data: CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming
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  Data: CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. - Leverage the power of GPU computing with PGI's CUDA Fortran compiler - Gain insights from members of the CUDA Fortran language development team - Includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches - Includes full source code for all the examples and several case studies - Download source code and slides from the book's companion website
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  Data: <searchLink fieldCode="AR" term="%22Gregory+Ruetsch%22">Gregory Ruetsch</searchLink><br /><searchLink fieldCode="AR" term="%22Massimiliano+Fatica%22">Massimiliano Fatica</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.131
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: FORTRAN (Computer program language)
        Type: general
    Titles:
      – TitleFull: CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Gregory Ruetsch
      – PersonEntity:
          Name:
            NameFull: Massimiliano Fatica
      – PersonEntity:
          Name:
            NameFull: Gregory Ruetsch
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          Name:
            NameFull: Massimiliano Fatica
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780124169708
            – Type: isbn-electronic
              Value: 9780124169722
          Titles:
            – TitleFull: CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming
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