Isbn: 9780124169708 - Cuda Fortran for Scientists and Engineers: Best Practices for Efficient Cuda Fortran Programming (13 results)

Soft cover. Condition: Very Good. 1st Edition. Book is clean with a square, tight binding and bright, white pages. Book has minor wear on the edges of both covers and spine that is difficult to see in the scans. No apparent marks interior. We are donsbookstore in Albuquerque New Mexico. The book you see in the image is the actual book we have for sale. When you buy this book from us, you are helping to support a small brick and mortar family owned store. We have been curating our collection for three generations and currently have over 250,000 volumes in stock. Please feel free to call for more stock. 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. Please be aware that if you request any shipping service other than Media Mail Standard Shipping, we may have to ask for more than quoted to ship this large heavy item.…

PAP. Condition: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: New.

Taschenbuch. Condition: Neu. CUDA Fortran for Scientists and Engineers | Best Practices for Efficient CUDA Fortran Programming | Gregory Ruetsch (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2013 | Elsevier Inc | EAN 9780124169708 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Paperback. Condition: new. New Copy. Customer Service Guaranteed.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.…

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…