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

TensorFlow CUDA

Concepts

Data Processing

Author (1)

Avimanyu Bandyopadhyay

Why not DIY?

Here, we will revisit all the points of the previous section. But, this time, DIY options will make it more flexible and offer you a greater freedom of choice. Flexibility and freedom come from choosing each and every component that you are going to assemble yourself. It is recommended that you dedicate at least a month to researching different PC components on the market to build the best system possible on your estimated budget.

So, to build your system from scratch, let's start our DIY walkthrough with the most important component.

GPU

Without a doubt, this is our most important component, and is directly related to our subject of study in this book. If you are looking toward GPU computing applications...

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Hands-On GPU Computing with Python

Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

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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