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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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Understanding how Anaconda works with CuPy and Numba

You must be familiar by now with the free and open source Anaconda distribution, as we have been using it for all our code examples so far. Let's further explore Anaconda and learn more about its features, especially in terms of accelerated computing. Accelerated computing in Anaconda is extremely significant in the deployment for scientific computing with Python.

So far, we covered Python programming implementations inclusive of C/C++ syntax. But from now on, it is important that we focus more on a programming implementation only with pure Python syntax, a perspective that is highly significant for maintaining a seamless programming experience with Python, irrespective of the CPU or GPU platform. Adopting this approach makes it a lot easier for Python programmers to migrate towards a GPU-enabled experience. The more similar...

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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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