• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to secondary navigation
  • Skip to primary sidebar

OnlineProgrammingBooks.com

Legally Free Computer Books

  • All Categories
  • All Books
  • All Categories
  • All Books
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact
You are here: Home ▶ Limited-Time Offers ▶ Hands-On GPU Computing with Python

Hands-On GPU Computing with Python

August 28, 2020

Hands-On GPU Computing with Python

With Hands-On GPU Computing with Python, understand effective synchronization strategies for faster processing using GPUs. Write parallel processing scripts with PyCuda and PyOpenCL. (Limited-time offer)

Book Description

  • Introducing GPU Computing
  • Designing a GPU Computing Strategy
  • Setting Up a GPU Computing Platform with NVIDIA and AMD
  • Fundamentals of GPU Programming
  • Setting Up Your Environment for GPU Programming
  • Working with CUDA and PyCUDA
  • Working with ROCm and PyOpenCL
  • Working with Anaconda, CuPy, and Numba for GPUs
  • Containerization on GPU-Enabled Platforms
  • Accelerated Machine Learning on GPUs
  • GPU Acceleration for Scientific Applications Using DeepChem

Download Free PDF / Read Online

Author(s): Avimanyu Bandyopadhyay
Publisher: Packt Publishing
Published: May 2019
Format(s): Online
File size: –
Number of pages: 452
Download / View Link(s): This offer has ended.
Free as of 08/28/2020.

Similar Books:

  1. Introduction to High Performance Scientific Computing
  2. High Performance Computing
  3. Introduction to Computing
  4. Affective Computing
  5. Law for Computing Students
Previous Post: « Machine Learning for Algorithmic Trading Bots with Python : Video Course
Next Post: Deep Learning with PyTorch 1.x – Second Edition »

Primary Sidebar

Get Latest Updates

  • Facebook
  • Pinterest
  • RSS
  • Twitter
  • YouTube
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact

Copyright © 2006–2023 OnlineProgrammingBooks.com