Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Punto Poste 5.49 € Punto Poste 5.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 € Corriere Bartolini 4.49 € Punto Bartolini 3.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

CUDA Fortran for Scientists and Engineers

Massimiliano Fatica

Lingua

Inglese

Libro In brossura

Codice Libristo: 02009606

Casa editrice Elsevier Science & Technology, ottobre 2013

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leve... Descrizione completa

Codice Libristo: 02009606

165 b

67.39 €

Magazzino esterno Inviamo tra 10-18 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Programming in Parallel with CUDA Richard Ansorge

Rigido

62.09 €

Hands-On GPU Programming with Python and CUDA Dr. Brian Tuomanen

In brossura

41.89 €

CUDA Programming Shane Cook

In brossura

37.09 €

Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes Brian P. Flannery

Rigido

78.09 €

Theoretical Atomic Physics Harald Friedrich

Rigido

115.09 €

Atoms In Electromagnetic Fields (2nd Edition) Claude Cohen-Tannoudji

In brossura

53.19 €

Electron-Molecule and Photon-Molecule Collisions T.N. Rescigno

In brossura

45.49 €

CUDA by Example Jason Sanders

In brossura

41.09 €

CUDA Application Design and Development Rob Farber

Adobe ePub DRM

35.49 €

CUDA for Engineers Mete Yurtoglu

In brossura

37.09 €

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Bhaumik Vaidya

In brossura

47.49 €

Machine Learning Meets Quantum Physics Kristof T. Schütt

In brossura

81.69 €

Modern Fortran in Practice Arjen Markus

In brossura

71.29 €

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. You can leverage the power of GPU computing with PGI's CUDA Fortran compiler. You can gain insights from members of the CUDA Fortran language development team. It includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. It includes full source code for all the examples and several case studies. You can download source code and slides from the book's companion website.