Name: Cuda Fortran for Scientists and Engineers: Best Practices for Efficient Cuda Fortran Programming (en Inglés)
Price: 265079.00 COP
Availability: InStock
Author: Gregory Ruetsch; Massimiliano Fatica
ISBN: 9780124169708

portada Cuda Fortran for Scientists and Engineers: Best Practices for Efficient Cuda Fortran Programming (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

Gregory Ruetsch; Massimiliano Fatica

Año

2013

Idioma

Inglés

N° páginas

338

Encuadernación

Tapa Blanda

ISBN13

9780124169708

N° edición

Categorías

Aplicaciones gráficas y multimedia

Cuda Fortran for Scientists and Engineers: Best Practices for Efficient Cuda Fortran Programming (en Inglés)

Gregory Ruetsch; Massimiliano Fatica (Autor) · Morgan Kaufmann · Tapa Blanda

Libro Físico

$ 265.079

$ 407.813

Ahorras: $ 142.735

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Cuda Fortran for Scientists and Engineers: Best Practices for Efficient Cuda Fortran Programming (en Inglés)"

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. Leverage the power of GPU computing with PGI’s CUDA Fortran compilerGain insights from members of the CUDA Fortran language development teamIncludes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approachesIncludes full source code for all the examples and several case studies Download source code and slides from the book's companion website