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You're reading from  Accelerate Model Training with PyTorch 2.X

Product typeBook
Published inApr 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781805120100
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Machine Learning
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Author (1)
Maicon Melo Alves
Maicon Melo Alves
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Maicon Melo Alves

Dr. Maicon Melo Alves is a senior system analyst and academic professor specialized in High Performance Computing (HPC) systems. In the last five years, he got interested in understanding how HPC systems have been used to leverage Artificial Intelligence applications. To better understand this topic, he completed in 2021 the MBA in Data Science of Pontifícia Universidade Católica of Rio de Janeiro (PUC-RIO). He has over 25 years of experience in IT infrastructure and, since 2006, he works with HPC systems at Petrobras, the Brazilian energy state company. He obtained his D.Sc. degree in Computer Science from the Fluminense Federal University (UFF) in 2018 and possesses three published books and publications in international journals of HPC area.
Read more about Maicon Melo Alves

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Summary

You learned that PyTorch relies on third-party libraries to accelerate the training process. Besides understanding the concept of multithreading, you have learned how to install, configure, and use OpenMP. In addition, you have learned how to install and use IPEX, which is a set of libraries developed by Intel to optimize the training process of PyTorch code executed on Intel-based platforms.

OpenMP can accelerate the training process by employing multiple threads to parallelize the execution of PyTorch code, whereas IPEX is useful for replacing the operations provided by the default PyTorch library by optimizing the operations written specifically for Intel hardware.

In the next chapter, you will learn how to create an efficient data pipeline to keep the GPU working at peak performance during the entire training process.

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Accelerate Model Training with PyTorch 2.X
Published in: Apr 2024Publisher: PacktISBN-13: 9781805120100
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Maicon Melo Alves

Dr. Maicon Melo Alves is a senior system analyst and academic professor specialized in High Performance Computing (HPC) systems. In the last five years, he got interested in understanding how HPC systems have been used to leverage Artificial Intelligence applications. To better understand this topic, he completed in 2021 the MBA in Data Science of Pontifícia Universidade Católica of Rio de Janeiro (PUC-RIO). He has over 25 years of experience in IT infrastructure and, since 2006, he works with HPC systems at Petrobras, the Brazilian energy state company. He obtained his D.Sc. degree in Computer Science from the Fluminense Federal University (UFF) in 2018 and possesses three published books and publications in international journals of HPC area.
Read more about Maicon Melo Alves

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