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Hands-On GPU Programming with Python and CUDA

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

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993913
Pages 310 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dr. Brian Tuomanen Dr. Brian Tuomanen
Profile icon Dr. Brian Tuomanen
LinkedIn
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.
See other products by Dr. Brian Tuomanen

Table of Contents (15) Chapters

Preface 1. Why GPU Programming? 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

Questions

  1. Use Google or some other search engine to find at least one application of GPU programming that is not featured in this chapter.
  2. Try to find at least one programming language or API that can be used to program a GPU that is not featured in this chapter.
  3. Look up Google's new Tensor Processing Unit (TPU) chips. How do these differ from GPUs?
  4. Do you think it is a better idea to connect computers together into a cluster using Wi-Fi or wired Ethernet cables?
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Authors (1)

Profile icon Dr. Brian Tuomanen
LinkedIn
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
See other products by Dr. Brian Tuomanen

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