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...
GetHands-On GPU Computing with Pythonnow with the O’Reillylearning platform. O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly andnearly 200 top publishers. Start your free trial
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...
(This works similarly to the cProfiler module that was featured in Chapter 1, Why GPU Programming?.) First, let's load our program as text within IPython with the following lines, which we can then run with our profiler via Python's exec command: with open('time_calc0.py','r') as...
Can we run CUDA on our main processor's built-in Intel HD GPU? What about on a discrete AMD Radeon GPU? Does this book use Python 2.7 or Python 3.7 for examples? What program do we use in Windows to see what GPU hardware we have installed? What command-line program do we use in ...
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 t
Hands-On GPU Programming with Python and CUDA是Dr. Brian Tuomanen写的小说,最新章节更新至Leave a review - let other readers know what you think,全文无弹窗在线阅读Hands-On GPU Programming with Python and CUDA就上QQ阅读男生网
QQ阅读提供Hands-On GPU Programming with Python and CUDA,Dedication在线阅读服务,想看Hands-On GPU Programming with Python and CUDA最新章节,欢迎关注QQ阅读Hands-On GPU Programming with Python and CUDA频道,第一时间阅读Hands-On GPU Programming with Python and
You’ll then see how to "query" the GPU’s features and copy arrays of data to and from the GPU’s own memory.As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips ...
Hands-On-GPU-Programming-with-Python-and-CUDA:Packt发行的《使用Python和CUDA进行动手GPU编程》 使用Python和CUDA进行动手GPU编程 这是Packt发布的《 进行的代码库。 探索使用CUDA的高性能并行计算 这本书是关于什么的? 使用Python和CUDA进行动手GPU编程必将步入正轨:您将首先学习如何应用阿姆达尔定律,使用代码分析器来...