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 CuPy code was explained using the comparative example of NumPy. The steps to install CuPy and Numba within an existing Anaconda environment were described. The configuration settings to set up CuPy and Numba were explained step by step. We also learned how computing works in both CuPy and Numba. CuPy was compared to NumPy and CUDA, whereas Numba was compared to NumPy, ROCm, and CUDA. Reduction was also explored for both CuPy and Numba.

At this stage, you should now be able to test your own CuPy and Numba programs. Based on the CUDA installation steps discussed previously in this book, you can also install and configure CuPy within an existing CUDA environment. Additionally, you should be able to install and configure Numba, based on both our CUDA and ROCm installation procedures.

Now, you should be thoughtful about the ways to maximize...

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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!
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