Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 8.49 € Correio DPD 4.99 € Ponto DPD 4.49 € Correio GLS 5.99 € Correio MRW 5.99 € Ponto GLS 4.99 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

CUDA Programming

Name: CUDA Programming
Brand: Elsevier Science & Technology
SKU: 04481320
Price: 43.67 EUR
Availability: InStock
Author: Shane Cook
ISBN: 9780124159334

Shane Cook

Língua

Inglês

Livro Capa mole

Código Libristo: 04481320

Editoras Elsevier Science & Technology, novembro 2012

If you need to learn CUDA but don't have experience with parallel computing, "CUDA Programming: A De... Descrição completa

Código Libristo: 04481320

106 b

43.67 €

Sob encomenda da editora Envio em 28-34 dias

Até 30 dias para devoluções

Os clientes também compraram

CUDA by Example Jason Sanders

Capa mole

49.81 €

CUDA Fortran for Scientists and Engineers Massimiliano Fatica

Capa mole

78.79 €

Programming in Parallel with CUDA Richard Ansorge

Livro de capa dura

74.46 €

CUDA for Engineers Mete Yurtoglu

Capa mole

44.97 €

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

Capa mole

57.45 €

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

Capa mole

50.71 €

CUDA Application Design and Development Rob Farber

Adobe ePub DRM

42.86 €

If you need to learn CUDA but don't have experience with parallel computing, "CUDA Programming: A Developer's Introduction" offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. This title offers comprehensive introduction to parallel programming with CUDA, for readers new to both. It includes detailed instructions that help readers optimize the CUDA software development kit. It provides practical techniques that illustrate working with memory, threads, algorithms, resources, and more. It covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledge.