CUDA Fortran for scientists and engineers: best practices for efficient CUDA Fortran programming
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Morgan Kaufmann, an imprint of Elsevier
[2014]
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| Schlagworte: | |
| Online-Zugang: | FAW01 FLA01 Volltext |
| Beschreibung: | Includes bibliographical references and index 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 |
| Beschreibung: | 1 Online-Ressource (1 online resource) |
| ISBN: | 9780124169722 0124169724 9780124169708 0124169708 |
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| spelling | Ruetsch, Gregory Verfasser aut CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming Gregory Ruetsch, Massimiliano Fatica Best practices for efficient CUDA Fortran programming Amsterdam Morgan Kaufmann, an imprint of Elsevier [2014] 1 Online-Ressource (1 online resource) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 COMPUTERS / Programming Languages / General bisacsh FORTRAN (Computer program language) fast FORTRAN (Computer program language) CUDA Informatik (DE-588)7719528-0 gnd rswk-swf FORTRAN (DE-588)4017984-9 gnd rswk-swf CUDA Informatik (DE-588)7719528-0 s FORTRAN (DE-588)4017984-9 s 1\p DE-604 Fatica, Massimiliano Sonstige oth http://www.sciencedirect.com/science/book/9780124169708 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ruetsch, Gregory CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming COMPUTERS / Programming Languages / General bisacsh FORTRAN (Computer program language) fast FORTRAN (Computer program language) CUDA Informatik (DE-588)7719528-0 gnd FORTRAN (DE-588)4017984-9 gnd |
| subject_GND | (DE-588)7719528-0 (DE-588)4017984-9 |
| title | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming |
| title_alt | Best practices for efficient CUDA Fortran programming |
| title_auth | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming |
| title_exact_search | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming |
| title_full | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming Gregory Ruetsch, Massimiliano Fatica |
| title_fullStr | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming Gregory Ruetsch, Massimiliano Fatica |
| title_full_unstemmed | CUDA Fortran for scientists and engineers best practices for efficient CUDA Fortran programming Gregory Ruetsch, Massimiliano Fatica |
| title_short | CUDA Fortran for scientists and engineers |
| title_sort | cuda fortran for scientists and engineers best practices for efficient cuda fortran programming |
| title_sub | best practices for efficient CUDA Fortran programming |
| topic | COMPUTERS / Programming Languages / General bisacsh FORTRAN (Computer program language) fast FORTRAN (Computer program language) CUDA Informatik (DE-588)7719528-0 gnd FORTRAN (DE-588)4017984-9 gnd |
| topic_facet | COMPUTERS / Programming Languages / General FORTRAN (Computer program language) CUDA Informatik FORTRAN |
| url | http://www.sciencedirect.com/science/book/9780124169708 |
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