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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 Numba to NumPy, ROCm, and CUDA

Let's now compare Numba to NumPy, ROCm, and CUDA in terms of simplicity in parallelization. In the following table, we explore the scope of Numba with respect to NumPy, ROCm, and CUDA to understand the scenarios when Numba could be advantageous to both. Some of the differences are as follows:

CUDA

ROCm

NumPy

Numba

Based on C/C++ programming language.

Based on C/C++ programming language.

Based on Python programming language.

Based on Python programming language.

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

Uses C/C++ combined with specialized code to accelerate computations for HCC and HIP.

Fundamental package for scientific computing with Python on conventional CPUs.

Natively understands NumPy arrays, shapes, and dtypes and can index a NumPy array without relying on Python (close...

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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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