Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Description

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 FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science applicationsBook Description 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 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 with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain. By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing. What you will learnLaunch GPU code directly from PythonWrite effective and efficient GPU kernels and device functionsUse libraries such as cuFFT, cuBLAS, and cuSolverDebug and profile your code with Nsight and Visual ProfilerApply GPU programming to datascience problemsBuild a GPU-based deep neuralnetwork from scratchExplore advanced GPU hardware features, such as warp shufflingWho this book is for Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Similar books

• 

  Family History Digital Libraries

  By William Sims Bainbridge

  One named Sara and Timberlake had 11 male workers, 1 female worker, and 4 children workers, so it might have employed the Minor family.

• 

  Foundation Dreamweaver MX

  By Craig Grannell, Jerome Turner, Matt Stephens

  So here's what we need to do to arrive at our layout: s Create the main table to hold all the page elements. s Deal with the navigation area which is ...

• 

  Cisco CCNA Certification, 2 Volume Set: Exam 200-301

  By Todd Lammle

  This inclusive, two-book set provides what you need to know to succeed on the new CCNA exam. The set includes Understanding Cisco Networking Technologies: Volume 1 and the CCNA Certification Study Guide: Volume 2.

• 

  CompTIA Network+ Study Guide: Exam N10-006

  By Todd Lammle

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CompTIA Network+ Study Guide with Online Labs: N10-007 Exam

  By Todd Lammle, Jon Buhagiar

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CCNA: Cisco Certified Network Associate FastPass

  By Todd Lammle

  S The S reference point defines the point between the customer router and an ... with the letter E deal with using ISDN on the existing telephone network.

• 

  Stranger in the Chat Room

  By Todd Hafer, Jedd Hafer

  A sequel to In the Chat Room With God finds a group of teens contacted by a mysterious and increasingly malevolent character who claims to know about their encounters with the Almighty and challenges their beliefs. Original.

• 

  Error Correction Coding: Mathematical Methods and Algorithms

  By Todd K. Moon

  M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...

• 

  Security+ Training Guide

  By Todd King

  ... to deal with most , but unfortunately not all , of these potential threats . ... The S / MIME standard implements encryption for message content using ...

• 

  CCDA: Cisco Certified Design Associate Study Guide: Exam 640-861

  By Todd Lammle, Andy Barkl

  S reference point The S reference point defines the reference point between ... with the letter E deal with using ISDN on the existing telephone network.