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

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

by Gregory Ruetsch

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AlbakiReads Editorial A practical route from established Fortran code to GPU computing

A practical route from established Fortran code to GPU computing

CUDA Fortran for Scientists and Engineers frames GPU acceleration as an extension of existing scientific Fortran work rather than a wholesale move to another language. It introduces parallel-computing fundamentals before addressing the practical steps of adapting applications: understanding GPU architecture, locating computational hotspots, organizing data and parallelism, and tuning code for efficiency. Concrete examples accompany the concepts, with an emphasis on comparing performance as code is developed. The book’s scope is firmly hands-on and technical, centered on CUDA Fortran practices for high-performance scientific applications.

Good fit for readers who enjoy

  • Scientific and engineering programmers working primarily in Fortran
  • Developers beginning with parallel or GPU computing
  • Teams seeking to adapt existing Fortran applications for GPU execution

Themes

CUDA FortranGPU computingParallel programmingPerformance optimizationScientific computing

Based on publisher information and book metadata.

Book Overview CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran,...

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.

Book Details Format: Paperback | Pages: 338 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0124169708
FormatPaperback
Pages338
LanguageEnglish
ISBN0124169708
EAN9780124169708
PublisherMORGAN KAUFMANN PUBL INC
Publication Date2013-09-17
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.55 Pounds
Length9.1 Inches
Width7.5 Inches
Height0.8 Inches
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