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CUDA Fortran For Scientists And Engineers: Best Practices For Efficient Cuda Fortran Programming Paperback English by Massimiliano Fatica - 41571

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Publisher	Elsevier Science And Technology
ISBN 10	124169708
About the Author	Greg Ruetsch is a Senior Applied Engineer at NVIDIA, Where he Works on Cuda Fortran And Performance Optimization of Hpc codes. He Holds a Bachelor's Degree in Mechanical And Aerospace Engineering From Rutgers University And a pH.D. in Applied Mathematics From Brown University. Prior to Joining NVIDIA he Has Held Research Positions at Stanford University's Center For Turbulence Research And Sun Microsystems Laboratories. Massimiliano Fatica is The Manager of The Tesla Hpc 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.
Author	Massimiliano Fatica, Gregory Ruetsch
Language	English
Language	English
Number of Pages	338

ISBN 13	9780124169708
Editorial Review	This Book is Written For The Fortran Programmer Who Wants to do Real Work on GPUs, Not Just Stunts or demonstrations. The Book Has Many Examples, And Includes Introductory Material on GPU Programming as Well as Advanced Topics Such as Data Optimization, Instruction Optimization And Multiple GPU programming. Placing The Performance Measurement Chapter Before Performance Optimization is Key, Since Measurement Drives The Tuning And Optimization process. All Fortran Programmers Interested in GPU Programming Should Read This book.--Michael Wolfe
Book Description	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 Format	Paperback
Book Subtitle	Best Practices For Efficient Cuda Fortran Programming
Publication Date	41571

CUDA Fortran For Scientists And Engineers: Best Practices For Efficient Cuda Fortran Programming Paperback English by Massimiliano Fatica - 41571

276.00

Low stock: only 2 left