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

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

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

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


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


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

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

About the Author

Dr. Brian Tuomanen has been working with CUDA and General-Purpose GPU Programming since 2014. He received his Bachelor of Science in Electrical Engineering from the University of Washington in Seattle, and briefly worked as a Software Engineer before switching to Mathematics for Graduate School. He completed his Ph.D. in Mathematics at the University of Missouri in Columbia, where he first encountered GPU programming as a means for studying scientific problems. Dr. Tuomanen has spoken at the US Army Research Lab about General Purpose GPU programming, and has recently lead GPU integration and development at a Maryland based start-up company. He currently lives and works in the Seattle area.

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Product details

Paperback: 310 pages

Publisher: Packt Publishing (November 27, 2018)

Language: English

ISBN-10: 1788993918

ISBN-13: 978-1788993913

Product Dimensions:

7.5 x 0.7 x 9.2 inches

Shipping Weight: 1.5 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

1 customer review

Amazon Best Sellers Rank:

#616,102 in Books (See Top 100 in Books)

This book is a important resource for engineers, developers, or researchers who need to maximize performance in their GPU based applications. Furthermore the authour provides excellent examples of working with GPUs directly from python. While the book uses python the general GPU concepts can be used for any programming platform.

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

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

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

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