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

    CUDA Fortran for Scientists and Engineers by Ruetsch, Gregory; Fatica, Massimiliano;

    Best Practices for Efficient CUDA Fortran Programming

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      • Publisher's listprice EUR 113.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        47 934 Ft (45 652 Ft + 5% VAT)
      • Discount 20% (cc. 9 587 Ft off)
      • Discounted price 38 348 Ft (36 522 Ft + 5% VAT)

    47 934 Ft

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    Product details:

    • Edition number 2
    • Publisher Morgan Kaufmann
    • Date of Publication 16 July 2024

    • ISBN 9780443219771
    • Binding Paperback
    • No. of pages350 pages
    • Size 234x190 mm
    • Weight 890 g
    • Language English
    • 612

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    Long description:

    CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming 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. In order to add CUDA Fortran to existing Fortran codes, they explain 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 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.

    This second edition provides much needed updates on how to efficiently program GPUs in CUDA Fortran. It can be used either as a tutorial on GPU programming in CUDA Fortran as well as a reference text.

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    Table of Contents:

    PART I: CUDA Fortran Programming
    1. Introduction
    2. Correctness, Accuracy, and Debugging
    3. Performance Measurements and Metrics
    4. Synchronization
    5. Optimization
    6. Multi-GPU Programming
    7. Porting Tips and Techniques
    8. Interfacing with CUDA C, OpenACC, and CUDA Libraries

    PART II Case Studies
    9. Monte Carlo Method
    10. Finite Difference Method
    11. Applications of the Fast Fourier TransformRay Tracing

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