Ver Original
0 ratings
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
genuine image
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Dr. Brian Tuomanen is an expert in CUDA and General-Purpose GPU Programming
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Artigo n.º: 18642590

Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Artigo n.º: 18642590

XOF 44366

Detalhes do Preço

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from EUA

Em stock
EUA Importado da loja USA
Encomende já e receba por volta de Sunday, Agosto 16
Transação seguraTransação segura

A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Dr. Brian Tuomanen is an expert in CUDA and General-Purpose GPU Programming
Garantia U-Care:
Nenhuma
Selecione um plano
fast shipping

Fast
Shipping

free return

Devolução
gratuita*

Embalagem Segura

Embalagem Segura

Produtos 100% Originais

Produtos 100% Originais

pci-dss

Certificação PCI DSS

iso certified

Certificação ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of EUA store (110-120). Recommended power converters COMPRAR AGORA.

O que se Destaca

Practical Approach
Provides hands-on projects enabling learners to apply GPU programming concepts immediately, ensuring better understanding and retention of Python and CUDA programming techniques.
Comprehensive Resources
Offers extensive resources, including code examples and case studies, making complex GPU programming more accessible for both beginners and experienced developers alike.
Expert Insights
Written by industry professionals, the book features insights and best practices from real-world applications, helping readers to stay updated with the latest trends in GPU programming.

Detalhes do produto

Shop Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA online at a best price in Guinea-Bissau. 1788993918
  • Expert author with extensive experience in CUDA and GPU programming
  • Bachelor's degree in Electrical Engineering from the University of Washington
  • Ph.D. in Mathematics from the University of Missouri
  • In-depth knowledge of high-performance parallel computing with CUDA
  • Previous experience in GPU integration and development at a start-up company
  • Speaker at the US Army Research Lab on General Purpose GPU programming
Publisher Packt Publishing
Publication date November 27, 2018
Language English
Print length 310 pages
ISBN-10 1788993918
ISBN-13 978-1788993913
Item Weight 1.18 pounds (540 grams)
Dimensions 7.5 x 0.7 x 9.25 inches (19.1 x 1.8 x 23.5 cm)

Quem Deverá Comprar?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to accelerate their computations and implement machine learning algorithms using GPU processing.

  • Students Learning

    Perfect for students who want to learn GPU programming and apply concepts using practical Python examples in CUDA.

  • AI Researchers

    Beneficial for AI researchers focused on optimizing deep learning models through the efficient use of GPU architectures.

Not Suitable For
  • Beginners in Programming

    Not suitable for complete programming novices without prior experience in Python or understanding of GPU concepts.

DESCRIÇÃO DO PRODUTO

Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Tem alguma Dúvida? Converse connosco

Perguntas e Respostas dos Clientes

  • Pergunta: What prerequisites do I need to start with Hands-On GPU Programming with Python and CUDA?

    Resposta: To effectively engage with Hands-On GPU Programming with Python and CUDA, having a background in Python programming and a basic understanding of computer architecture is essential. Familiarity with linear algebra concepts can also enhance your learning experience, as these concepts are often applied in GPU programming. This foundational knowledge will help you grasp the intricacies of parallel programming techniques and how to optimize code for better performance on GPU architectures.
  • Pergunta: Is this book suitable for beginners in GPU programming?

    Resposta: Yes, this book is suitable for beginners who have a basic Python programming knowledge. The content is structured to guide readers through fundamental concepts of GPU programming and CUDA. It introduces core principles and gradually builds upon them, with practical examples to reinforce learning, making it an excellent choice for those starting out and looking to deepen their understanding of GPU technology.
  • Pergunta: What topics are covered in this book?

    Resposta: Hands-On GPU Programming with Python and CUDA covers a wide range of topics including the fundamentals of GPU architecture, setting up the CUDA development environment, parallel programming concepts, optimization techniques, and hands-on projects. Additionally, it dives into real-world applications of GPU programming in fields such as deep learning, computer vision, and scientific computing, enabling readers to apply their skills in various practical scenarios.
  • Pergunta: How does this book facilitate hands-on learning?

    Resposta: The book is designed with a hands-on approach, featuring coding examples, exercises, and projects that encourage practical implementation. Readers can follow along with the examples while working through exercises that reinforce their understanding. This interactive learning style enables learners to not only read and comprehend theoretical aspects but also directly apply their knowledge by coding real GPU-accelerated applications.
  • Pergunta: Can I use this book for self-study?

    Resposta: Absolutely! This book is specifically crafted for self-study, allowing learners to progress at their own pace. With clear explanations, practical examples, and review questions at the end of each chapter, independent learners can effectively grasp GPU programming concepts. Whether you're coming from a software development background or are new to the field, the structure facilitates a self-contained educational experience.
  • Pergunta: What programming languages are primarily used in the book?

    Resposta: The primary programming language used in this book is Python, along with CUDA for GPU programming. The combination allows readers to leverage Python’s simplicity and flexibility while harnessing the power of CUDA to optimize performance. This dual-language approach caters to Python developers who want to step into the world of GPU programming, making it accessible without overwhelming newcomers with complex syntax.
  • Pergunta: Are there any online resources or communities associated with this book?

    Resposta: Yes, readers can find online resources such as forums, tutorials, and relevant coding communities that discuss GPU programming and CUDA techniques. Joining platforms like GitHub or Stack Overflow can provide additional support and exchange ideas with peers. Engaging with these communities enhances the learning experience with real-world discussions and additional project opportunities that relate to the book's content.
  • Pergunta: What kind of projects can I expect to create after reading this book?

    Resposta: After completing the book, readers can expect to create various projects that leverage GPU acceleration. This includes applications in machine learning, real-time image processing, or scientific simulations. By applying the knowledge gained from the book, you'll be able to tackle projects that require intensive computation and can produce significant performance improvements by utilizing GPU capabilities.
  • Pergunta: Can this book help me in my career in data science or AI?

    Resposta: Definitely! With the increasing reliance on GPU acceleration in data science and artificial intelligence, knowledge of GPU programming is a valuable asset. This book equips you with essential skills to implement machine learning models and optimize data processing tasks, enhancing your resume. Proficiency in these areas is in high demand, making you a more competitive candidate in technology-focused roles.
  • Pergunta: Where can I buy Hands-On GPU Programming with Python and CUDA in Guinea-Bissau?

    Resposta: You can buy Hands-On GPU Programming with Python and CUDA at Ubuy. Ubuy offers a seamless shopping experience, providing access to various educational resources, including programming books, through an intuitive platform. Browse Ubuy to find this title and expand your library with essential programming knowledge.

Parallel Programming Editorial Review

**Editorial Review** "Hands-On GPU Programming with Python and CUDA" has been well-received by its users, particularly for its practical application and comprehensive coverage of GPU programming. Reviewers Consistently emphasize the book's clarity and thoroughness, making it an invaluable resource for both beginner programmers and seasoned engineers. The step-by-step approach allows users to seamlessly implement high-performance heterogeneous computing programs in Python, thereby enhancing productivity and illustrating the power of GPU acceleration without compromising the user-friendly nature of Python's development environment. Many users noted that the book utilizes PyCUDA, which facilitates programming on platforms such as Google Colab with GPU runtimes—an attractive feature for those who might not have access to NVIDIA GPUs. While the current code is predominantly in Python 2, several reviewers acknowledged the need for adaptation to Python 3, along with existing resources to assist with this transition. The author's commitment to customer support has also been highlighted positively, particularly when a reviewer reached out for help while waiting for an updated edition. This responsiveness adds a personal touch that fosters a sense of community among readers. Importantly, beyond the practical implementation of code, the book delves into the theoretical Constructs of CUDA C and the principles of massively parallelized systems design, appealing to a wide range of readers, including researchers and application developers. Overall, the book has been lauded as an essential guide for anyone aiming to enhance performance in GPU-centric applications or gain a deep understanding of GPU programming concepts. **

Avaliações e Classificações dos Clientes

1 classificações de clientes
  • 5 Estrela
    100%
  • 4 Estrela
    0%
  • 3 Estrela
    0%
  • 2 Estrela
    0%
  • 1 Estrela
    0%

Avaliar este produto

Partilhe as suas ideias com outros clientes

Prós

  • Comprehensive and clear explanations of GPU programming fundamentals.
  • Practical hands-on coding examples using PyCUDA.
  • Suitable for both beginners and experienced programmers.
  • Excellent support and communication from the author.
  • Ideal for maximizing performance in GPU applications.

Contras

  • Primarily written in Python 2, which may require users to adapt code for Python 3.

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

trustpilot logo
4.2/5 9250 + reviews
Ler avaliações
MA
Mohammad
Comprador verificado

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Comprador verificado

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Comprador verificado

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Comprador verificado

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Comprador verificado

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Checkout Seguro Entrega Global Devoluções Fáceis Produtos Genuínos

Histórico de preços do produto

Informação importante

  • Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
  • Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.

XOF 44366

Encomende já e receba por volta de Sunday, Agosto 16

Qtd.:

Transação seguraTransação segura

Em conformidade com a norma PCI DSS e com certificação ISO 27001:2022, com pagamentos encriptados e proteção total do comprador em todas as encomendas.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Entrega internacional mais rápida

Recursos e benefícios

  • Bachelor of Science in Electrical Engineering from the University of Washington
  • Completed his PhD in Mathematics at the University of Missouri
  • Has spoken at the US Army Research Lab about GPU programming
  • Lead GPU integration and development at a Maryland based startup
  • Currently lives and works in the Seattle area

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.