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Hands-On GPU Programming with Python and CUDA

You're reading from   Hands-On GPU Programming with Python and CUDA Explore high-performance parallel computing with CUDA

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993913
Length 310 pages
Edition 1st Edition
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Author (1):
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Dr. Brian Tuomanen Dr. Brian Tuomanen
Author Profile Icon Dr. Brian Tuomanen
Dr. Brian Tuomanen
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Table of Contents (15) Chapters Close

Preface 1. Why GPU Programming? FREE CHAPTER 2. Setting Up Your GPU Programming Environment 3. Getting Started with PyCUDA 4. Kernels, Threads, Blocks, and Grids 5. Streams, Events, Contexts, and Concurrency 6. Debugging and Profiling Your CUDA Code 7. Using the CUDA Libraries with Scikit-CUDA 8. The CUDA Device Function Libraries and Thrust 9. Implementation of a Deep Neural Network 10. Working with Compiled GPU Code 11. Performance Optimization in CUDA 12. Where to Go from Here 13. Assessment 14. Other Books You May Enjoy

Blockchain technology

Last, but certainly not least, is blockchain technology. This is the underlying cryptographic technology that powers cryptocurrencies such as Bitcoin and Ethereum. This is, of course, a very new field, which was first described by Bitcoin's mysterious creator, Satoshi Nakamoto, in a white paper published in 2008. GPUs were applied to this field almost immediately after its invention—generating a unit of currency comes down to brute-force cracking a cryptographic puzzle, and a GPU can attempt to brute-force crack more combinations in parallel than any other piece of hardware available to the general public today. This process is known as mining.

Those who are interested in blockchain technology are suggested to read Satoshi Nakamoto's original white paper on Bitcoin, which is available here: https://bitcoin.org/bitcoin.pdf.

GUIMiner, an open...
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