GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning
genuine image
GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning
GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning
№ на артикул: 269737896

GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning

№ на артикул: 269737896

€ 45

Price Details

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

*All items will import from САЩ

В наличност
САЩ Импортирани от магазин USA

QTY:

Поръчайте сега и я вземете Събота, Октомври 17
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Покажи повече
Гаранция на U-Care:
Нито един
Изберете план
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

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

Информация за продукта

Shop GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning online at a best price in Bulgaria. 1803245425
  • Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently.Key FeaturesBuild a solid foundation in CUDA with Python, from kernel design to execution and debuggingOptimize GPU performance with efficient memory access, CUDA streams, and multi-GPU scalingUse JAX, CuPy, RAPIDS, and Numba to accelerate numerical computing and machine learningCreate practical GPU applications, from PDE solvers to image processing and transformersBook DescriptionWriting high-performance Python code doesn’t have to mean switching to C++. This book shows you how to accelerate Python applications using NVIDIA’s CUDA platform and a modern ecosystem of Python tools and libraries. Aimed at researchers, engineers, and data scientists, it offers a practical yet deep understanding of GPU programming and how to fully exploit modern GPU hardware.You’ll begin with the fundamentals of CUDA programming in Python using Numba-CUDA, learning how GPUs work and how to write, execute, and debug custom GPU kernels. Building on this foundation, the book explores memory access optimization, asynchronous execution with CUDA streams, and multi-GPU scaling using Dask-CUDA. Performance analysis and tuning are emphasized throughout, using NVIDIA Nsight profilers.You’ll also learn to use high-level GPU libraries such as JAX, CuPy, and RAPIDS to accelerate numerical Python workflows with minimal code changes. These techniques are applied to real-world examples, including PDE solvers, image processing, physical simulations, and transformer models.Written by experienced GPU practitioners, this hands-on guide emphasizes reproducible workflows using Python 3.10+, CUDA 12.3+, and tools like the Pixi package manager. By the end, you’ll have future-ready skills for building scalable GPU applications in Python.What you will learnUnderstand GPU execution, parallelism, and the CUDA programming modelWrite, launch, and debug custom CUDA kernels in Python with CUDAProfile GPU code with NVIDIA Nsight and optimize memory accessUse CUDA streams and async execution to overlap compute and transfersApply JAX, CuPy, and RAPIDS to numerical computing and machine learningScale GPU workloads across devices using Dask and multi-GPU strategiesAccelerate PDE solvers, simulations, and image processing on the GPUBuild, train, and run a transformer model from scratch on the GPUWho this book is forPython developers, (data) scientists, engineers, and researchers looking to accelerate numerical computations without switching to low-level languages. This book is ideal for those with experience in scientific Python (NumPy, Pandas, SciPy) and a basic understanding of computing fundamentals who want deeper control over performance in GPU environments.Table of ContentsWhy GPU Programming with CUDA in Python 3?Setting Up a GPU Programming Environment Locally and in the CloudWriting and Executing CUDA Kernels with Numba-CUDAProfiling and Debugging CUDA CodeOptimizing the Performance of CUDA CodeEnabling Concurrency Using CUDA StreamsScaling to Multiple GPUsBringing NumPy and SciPy to the GPU with CuPyBringing pandas and scikit-learn to the GPU with RapidsSolving Optimization Problems on the GPU with JAXSolving the Heat Equation on the GPUImage Processing and Computer Vision on the GPUSimulating Atomic Interactions on the GPUImplementing Your Own Transformer-Based Language ModelExpanding and Deepening Your GPU Programming Knowledge
Publisher Packt Publishing
Publication date March 31, 2026
Language English
Print length 534 pages
ISBN-10 1803245425
ISBN-13 978-1803245423
Item Weight 2 pounds (910 grams)
Dimensions 7.5 x 1.21 x 9.25 inches (19.1 x 3.1 x 23.5 cm)

ОПИСАНИЕ НА ПРОДУКТА

Имате запитване? Чат с нас

Въпроси и отговори на клиенти

  • въпрос: Как да пазарувате GPU-Accelerated Computing with Python 3 and CUDA: онлайн от Ubuy?

    отговор: Лесно е да пазарувате GPU-Accelerated Computing with Python 3 and CUDA: онлайн от Ubuy.. Просто трябва да потърсите продукта, да изберете метода си за доставка, докато плащате, и да го достави до вашето местоположение.
  • въпрос: GPU-Accelerated Computing with Python 3 and CUDA: предлага ли се за пазаруване онлайн в Bulgaria?

    отговор: Да, в Ubuy Bulgaria този продукт е наличен, за да пазарувате на разумна цена.. GPU-Accelerated Computing with Python 3 and CUDA: не се предлага на местно ниво, но можете да ни се доверите с нашите услуги за експресна доставка.
  • въпрос: Колко време отнема получаването на продукта след извършване на поръчката?

    отговор: Времето за доставка на поръчания от вас продукт варира в зависимост от това, което сте поръчали, и избрания от вас метод на доставка.. Очакваното време за доставка се споменава по време на процеса на плащане, така че бъдете безгрижни, докато пазарувате.

Parallel Programming Editorial Review

  • ubuy Bulgaria
Няма намерени редакционни отзиви

Customer Reviews & Ratings

4.8
6 оценки от клиенти
  • 5 звезда
    79%
  • 4 звезда
    21%
  • 3 звезда
    0%
  • 2 звезда
    0%
  • 1 звезда
    0%

Дайте отзив за този продукт

Споделете вашите мисли с други клиенти

Product Price History

Важна информация

  • Ограничения: За продукти, доставени в международен план, имайте предвид, че е възможно не всяка гаранция на производителя да е валидна; опциите за обслужване на производителя може да не са налични; ръководствата на продукта, инструкциите и предупрежденията за безопасност може да не са на езиците на държавата на местоназначение; продуктите (и придружаващите ги материали) може да не са проектирани в съответствие със стандартите, спецификациите и изискванията за етикетиране на страната по местоназначение; също така продуктите може да не отговарят на напрежението в държавата по местоназначение и на други електрически стандарти (изискващи използване на адаптер или преобразувател, ако е необходимо). Получателят е длъжен да гарантира, че продуктът може да бъде внесен законно в страната по местоназначение. Когато поръчвате от Ubuy или неговите партньори, получателят е вносител и трябва да спазва всички закони и разпоредби на страната по местоназначение.
  • Не всички продукти, изброени в Ubuy, се продават, тъй като Ubuy е глобална търсачка. Продуктите са предмет на разпоредбите за износ/търговия.

€ 45

Поръчайте сега и я вземете Събота, Октомври 17

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

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.