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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
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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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Configuring PyOpenCL on your Python IDE

To configure PyOpenCL with PyCharm, we again have to follow up the two ways of installation we discussed in the previous section. The following steps are independent of the previous chapter and can be used as a standalone reference guide for getting started with PyOpenCL directly.

Conda-based virtual environment

Now, let's create a virtual environment with Conda as a new PyCharm pure Python project:

  1. Launch PyCharm Professional Edition:
  1. Choose New Project from the PyCharm main menu. Skip this step if you've already created a project:
  1. Create a new virtual environment with Conda if not already present:
  1. Wait while the Conda environment gets created:

After creating the...

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You have been reading a chapter from
Hands-On GPU Computing with Python
Published in: May 2019Publisher: PacktISBN-13: 9781789341072

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