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Horovod

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May 11, 2024 3 minute read
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Horovod is a distributed training framework that enables deep learning models to be trained on multiple GPUs or CPUs. It is designed to be easy to use and efficient, and it has been shown to significantly reduce the training time of large models. Horovod is open-source and is available for use with TensorFlow, Keras, and PyTorch.

Why Learn Horovod?

There are several reasons why you might want to learn Horovod:

Path to Horovod

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We've curated one courses to help you on your path to Horovod. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Horovod.
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Grokking Deep Learning
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Provides a comprehensive overview of distributed deep learning and how to use Horovod to train deep learning models on multiple GPUs.
Grokking Deep Learning
Kindle Edition
$$
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Structured Parallel Programming
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Covers the fundamentals of parallel programming and how to use Horovod to implement parallel algorithms.
Structured Parallel Programming: Patterns for...
Paperback
$$$
(日本語) Pattern for computing efficient - structured...
Tankobon Hardcover
$$$$
Structured Parallel Programming: Patterns for...
Kindle Edition
$$$
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Deep Learning for Coders with fastai and PyTorch
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Provides a comprehensive overview of distributed deep learning with Horovod. It is written by leading experts in deep learning and valuable resource for anyone who wants to learn how to use Horovod to train large-scale deep learning models.
Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$
Relevant careers
Data Scientist
Machine Learning Engineer
Software Engineer
Research Scientist
Developer
Analyst
Consultant
Manager
Educator
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Related topics
Data Science
Machine Learning
Distributed Computing
Deep Learning
Cloud Computing
Big Data
Artificial Intelligence
Software Development
Computer Science
Data Analytics
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