CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
Ruetsch, Gregory; Fatica, Massimiliano
Language: English
Published by Morgan Kaufmann, 2013
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9780124169708_new
- Title
- CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
- Author
- Ruetsch, Gregory; Fatica, Massimiliano
- Publisher
- Morgan Kaufmann
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0124169708
- ISBN 13
- 9780124169708
- Item weight
- 824 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Massimiliano Fatica is the Director of the HPC Benchmarking Group at NVIDIA where he works in the area of GPU computing (high-performance computing and clusters). He holds a laurea in Aeronautical Engineering and a PhD in Theoretical and Applied Mechanics from the University of Rome “La Sapienza. Prior to joining NVIDIA, he was a research staff member at Stanford University where he worked at the Center for Turbulence Research and Center for Integrated Turbulent Simulations on applications for the Stanford Streaming Supercomputer.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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