本章的代码也可以在 GitHub 上找到,网址为github.com/PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA. 有关先决条件的更多信息,请查看本书的前言;有关软件和硬件要求,请查看github.com/PacktPublishing/Hands-On-GPU-Programming-with-Python
Easy , Effective , Efficient : GPU Programming in Python with PyOpenCL and PyCUDAKlöckner, Andreas
Dr. Brian Tuomanen创作的计算机网络小说《Hands-On GPU Programming with Python and CUDA》,已更新0章,最新章节:。Hands-OnGPUProgrammingwithPythonandCUDAhitsthegroundrunning:you’llstartbylearninghowtoapplyAmdahl’sLaw,useacodeprofilert...
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key Features Expand your background in GPU programming - PyCUDA, scikit-cuda, and Ns...
Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to query the GPU’s ...
First published in the English language under the title Hands-On GPU Programming with Python and CUDA (9781788993913). All rights reserved. 本书由英国Packt出版社授权人民邮电出版社有限公司出版。未经出版者书面许可,对本书的任何部分不得以任何方式或任何手段复制和传播。
Hands-On GPU Programming with Python and CUDA是Dr. Brian Tuomanen创作的计算机网络类小说,QQ阅读提供Hands-On GPU Programming with Python and CUDA部分章节免费在线阅读,此外还提供Hands-On GPU Programming with Python and CUDA全本在线阅读。
GPUs are designed for maximum throughput but are subject to low-level subtleties. In contrast, Python is a high-level language that places emphasis on ease-of-use over speed. This updated second edition follows a practical approach to teaching you efficient GPU programming techniques with the late...
Set Up CUDA Python To run CUDA Python, you’ll need the CUDA Toolkit installed on a system with CUDA-capable GPUs. Use this guide to install CUDA. If you don’t have a CUDA-capable GPU, you can access one of the thousands of GPUs available from cloud service providers, including Amazon...
简介: Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to "query" the...