-- The C compiler identification is GNU 7.3.0-- The CXX compiler identification is GNU 7.3.0-- Check for working C compiler: /usr/bin/cc-- Check for working C compiler: /usr/bin/cc -- works-- Detecting C compiler ... GetHands-On GPU Computing with Pythonnow with the O’Reilly...
图书Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA 介绍、书评、论坛及推荐
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...
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
(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...
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
书名: Hands-On GPU Programming with Python and CUDA作者名: Dr. Brian Tuomanen本章字数: 97字更新时间: 2021-06-10 19:25:37 Installing the CUDA Toolkit Finally, we are beginning to get close to our goal! We now download our CUDA Toolkit by heading over to https://developer.nvidia.com/...
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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...
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