CUDA fortran for scientists and engineers : best practices for efficient CUDA fortran programming /

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 th...

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Bibliographic Details
Main Authors: Ruetsch, Gregory.
Corporate Authors: Elsevier Science & Technology.
Group Author: Fatica, Massimiliano.
Published: Morgan Kaufmann, an imprint of Elsevier,
Publisher Address: Amsterdam :
Publication Dates: [2014]
Literature type: eBook
Language: English
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9780124169708
Summary: 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 compilerGain insights from members of the CUDA Fortran language development teamIncludes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approachesIncludes full source code for all the examples and several case studies Download source code and slides from the book's companion website.
Carrier Form: 1 online resource
Bibliography: Includes bibliographical references and index.
ISBN: 9780124169722
0124169724
Index Number: QA76
CLC: TP312FO
Contents: Part I. CUDA Fortran programming -- part II. Case studies -- part III. Appendices.