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CUDA Fortran for Scientists and Engineers

CUDA FORTRAN FOR SCIENTISTS AND ENGINEERS

Information Technology

Computing & Information Technology

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B2B GT

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

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Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Dedication Page.
Contents.
Acknowledgments.
Preface.
1: CUDA Fortran Programming.
2: Introduction.
3: Performance Measurement and Metrics.
4: Optimization.
5: Multi-GPU Programming.
6: Case Studies.
7: Monte Carlo Method.
8: Finite Difference Method.
9: Applications of Fast Fourier Transform.
Appendices.
Appendix A: Tesla Specifications.
Appendix B: System and Environment Management.
Appendix C: Calling CUDA C from CUDA Fortran.
Appendix D: Source Code.
References.
Index.

CUDA Fortran for Scientists and Engineers.css-1p8rvzy{position:absolute;padding-left:8px;}

CUDA Fortran for Scientists and Engineers