Pomoc Live Chat
Koszyk
ODBIERZ TWÓJ BONUS :: »
Ebooki Audiobooki Książki Kursy video Promocje Nowości Bestsellery Darmowe ebooki
Pobierz aplikację Bony Podaruj prezent

GPU-Accelerated Computing with Python 3 and CUDA. From low-level kernels to real-world applications in scientific computing and machine learning Niels Cautaerts, Hossein Ghorbanfekr

Język publikacji: angielski
GPU-Accelerated Computing with Python 3 and CUDA. From low-level kernels to real-world applications in scientific computing and machine learning Niels Cautaerts, Hossein Ghorbanfekr - okladka książki

GPU-Accelerated Computing with Python 3 and CUDA. From low-level kernels to real-world applications in scientific computing and machine learning Niels Cautaerts, Hossein Ghorbanfekr - okladka książki

Autorzy:
Niels Cautaerts, Hossein Ghorbanfekr
Serie wydawnicze:
Practical
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Writing 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.

Wybrane bestsellery

O autorach książki

Dr. Niels Cautaerts has 10 years of experience writing Python for scientific applications. Five years ago he became interested to leverage hardware acceleration in his code. Soon after, he began contributing CUDA kernels to open source projects in his field of research. He has since applied his expertise to build GPU accelerated code in various projects, including a low latency framework for object detection in continuous image streams. Niels maintains a small following on YouTube and Medium, where he shares educational content about tech. Currently Niels works as a research software developer and data scientist. He has also worked as a big-data engineer. Niels has a background in materials science and holds a Ph.D. in applied Physics.
Hossein Ghorbanfekr is a computational physicist with over a decade of expertise in scientific programming for material modeling, specializing in C/C++ and Python. During his Ph.D., he wrote various codes, utilizing parallel computing and GPU acceleration. Since 2020, he has been working as a data scientist, focusing on machine learning and high-performance computing in research projects. Hossein has contributed to the development of an object detection framework for waste stream analysis and created GEOBERTje, a domain-specific large language model in geology. His recent work includes Pantea, an open-source, GPU-accelerated machine learning framework for molecular simulations.

Zobacz pozostałe książki z serii Practical

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Płatności obsługuje:
Ikona płatności Alior Bank Ikona płatności Apple Pay Ikona płatności Bank PEKAO S.A. Ikona płatności Bank Pocztowy Ikona płatności Banki Spółdzielcze Ikona płatności BLIK Ikona płatności Crédit Agricole e-przelew Ikona płatności dawny BNP Paribas Bank Ikona płatności Google Pay Ikona płatności ING Bank Śląski Ikona płatności Inteligo Ikona płatności iPKO Ikona płatności mBank Ikona płatności Nest Bank Ikona płatności Paypal Ikona płatności PayPo | PayU Płacę później Ikona płatności PayU Płacę później Ikona płatności Plus Bank Ikona płatności Płacę z Citi Handlowy Ikona płatności Płacę z Getin Bank Ikona płatności Płać z BOŚ Ikona płatności Płatność online kartą płatniczą Ikona płatności Santander Ikona płatności Visa Mobile