Programming Your GPU with OpenMP (The MIT Press)
Monday, 20 November 2023

This book looks at how to work with graphics processing units (GPUs). Tom Deakin and Timothy Mattson show how to use OpenMP to program a GPU using just a few directives and runtime functions. The authors share best practices for writing performance portable programs, and look at how to go further to maximize performance by using CPUs and GPUs in parallel.

<ASIN:0262547538 >

 

Authors: Tom Deakin and Timothy G. Mattson
Publisher: The MIT Press
Date: November 2023
Pages: 336
ISBN: 978-0262547536
Print:0262547538
Kindle:B0BV5VXBNK
Audience: General
Level: Intermediate
Category: Theory & Techniques  

Topics include:

  • The most up-to-date APIs for programming GPUs with OpenMP with concepts that transfer to other approaches for GPU programming.
  • Builds the OpenMP GPU Common Core to get programmers to serious production-level GPU programming as fast as possible.

 

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Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

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