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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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Comparing PyOpenCL to HIP and OpenCL – revisiting the reduction perspective

As in the previous chapter, let's compare PyOpenCL to HIP and OpenCL in terms of simplicity in parallelization before we write our first PyCUDA programs on PyCharm.

In the following table, we are exploring the scope of PyOpenCL with respect to HIP and OpenCL to note when to prefer PyOpenCL over OpenCL:

HIP

OpenCL

PyOpenCL

Based on C/C++ programming language.

Based on C/C++ programming language.

Based on Python programming language.

Includes both device and host code in a single .c or .cpp file.

Requires creation of a separate .cl file for device code along with a .c or .cpp file that calls the same code from the host for parallelization.

Includes both device and host code in a single .py file.

Uses C/C++ combined with specialized code to accelerate computations.

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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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