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You're reading from  Hands-On GPU Programming with Python and CUDA

Product typeBook
Published inNov 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781788993913
Edition1st Edition
Languages
Python
Tools
CUDA
Concepts
Graphics Programming
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Author (1)
Dr. Brian Tuomanen
Dr. Brian Tuomanen
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Dr. Brian Tuomanen

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.
Read more about Dr. Brian Tuomanen

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Using PyCUDA's gpuarray class

Much like how NumPy's array class is the cornerstone of numerical programming within the NumPy environment, PyCUDA's gpuarray class plays an analogously prominent role within GPU programming in Python. This has all of the features you know and love from NumPy—multidimensional vector/matrix/tensor shape structuring, array-slicing, array unraveling, and overloaded operators for point-wise computations (for example, +, -, *, /, and **).

gpuarray is really an indispensable tool for any budding GPU programmer. We will spend this section going over this particular data structure and gaining a strong grasp of it before we move on.

Transferring data to and from the GPU with gpuarray

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Hands-On GPU Programming with Python and CUDA
Published in: Nov 2018Publisher: PacktISBN-13: 9781788993913
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dr. Brian Tuomanen

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.
Read more about Dr. Brian Tuomanen

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