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Product details
File Size: 17302 KB
Print Length: 338 pages
Publisher: Morgan Kaufmann; 1 edition (September 11, 2013)
Publication Date: September 11, 2013
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00FDU4ZY4
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Amazon Best Sellers Rank:
#834,259 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
I have a few thousand hours of experience working with CUDA Fortran and can say that this book is perfect for the advance and beginner CUDA Fortran programmers alike. The concepts are laid out succinctly and clearly. The book includes codes written for tests and performance feedback related to each topic with detailed discussion that will be very helpful for learning CUDA Fortran and fully understanding the CUDA GPU architectures. The book is helpful also in that it includes methods for using CUDA cards up through the Tesla K20. This was important for me as the Tesla K20 has, up until the past couple of months, had poor literature describing best practices and how to take advantage of the card's capabilities. The biggest offering this book brings to the table is that you won't have to waste time searching around online trying to find half-baked information in forums and/or papers.I also recommend "The CUDA Handbook" as another resource to understand programming with GPUs.
Very useful! The approach is very didactic!
Very good book!
I utilized this book for my first explicit FEM code with cuda fortran(Tesla K20c). With easy-to-understand descriptions, I could understand many concepts in detail. The important thing is I have been able to write cuda fortran code and accelerate my original sequential CPU code. I hope more and more practical topics such as how to accelerate Conjugate Gradient method used in the various numerical simulator would be covered in the next revision of this book!! I love this book! Great thanks to the author!
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