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

Summary

In this chapter, the general syntax of HIP and OpenCL code was explained with documented examples. The steps to install PyOpenCL with or without Anaconda were illustrated within an existing NVIDIA or AMD OpenCL environment. The configuration measures to set up PyOpenCL were explained step by step, we learned how computing works in Python, and the significance of computational problem solving was highlighted. With a comparison of PyOpenCL, HIP, and OpenCL, the concept of parallel reduction was revisited.

Now that this chapter is at its end, you should now be able to test your own HIP or OpenCL program. You should also be able to install and configure PyOpenCL within an existing OpenCL environment. Porting your own CUDA code to a cross-platform HIP format that can be run on both NVIDIA and AMD GPUs will also be very convenient from now on. You can now start experimenting...

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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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