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You're reading from  Hands-On GPU Computing with Python

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789341072
Edition1st Edition
Languages
Python
Tools
TensorFlowCUDA
Concepts
Data Processing
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Author (1)
Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!
Read more about Avimanyu Bandyopadhyay

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Summary

In this chapter, we learned about the basic concepts behind PC hardware, the different components of a PC, and ideas so that you can build your first GPU computing system. Then, we focused on various PC-cooling techniques, particularly focusing on liquid cooling. After discussing options regarding branded hardware for GPU computing solutions, we discussed different PC components and looked at a step-by-step procedure on how to assemble them into a single unit. Finally, we listed four different CPU-GPU configurations for each level of hardware requirement with links for you to tweak or modify.

Now that we're at the end of this chapter, you should now be able to distinguish between different PC hardware components and also how to assemble them to set up a GPU computing system on your own. You are now acquainted with how liquid cooling works and you can now think of...

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Hands-On GPU Computing with Python
Published in: May 2019Publisher: PacktISBN-13: 9781789341072
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!
Read more about Avimanyu Bandyopadhyay

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