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CUDA Fortran for Scientists and Engineers

Best Practices for Efficient CUDA Fortran Programming

Gregory Ruetsch (Senior Applied Engineer, NVIDIA) Massimiliano Fatica (Manager Tesla HPC Group, NVIDIA)

$228.95

Paperback

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English
Morgan Kaufmann Publishers In
26 July 2024
Shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. This book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data.
By:   , ,
Imprint:   Morgan Kaufmann Publishers In
Country of Publication:   United States
Edition:   2nd edition
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443219771
ISBN 10:   044321977X
Pages:   350
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.

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