Alves Accelerate Model Training with PyTorch 2.X

Build more accurate models by boosting the model training process
1. Auflage 2024
ISBN: 978-1-80512-191-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 230 Seiten

No detailed description available for "Accelerate Model Training with PyTorch 2.X".

Autoren/Hrsg.

Alves, Maicon Melo

Weitere Mitwirkende

Drummond, Lúcia Maria de Assumpção

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

Table of Contents - Deconstructing the Training Process
- Training Models Faster
- Compiling the Model
- Using Specialized Libraries
- Building an Efficient Data Pipeline
- Simplifying the Model
- Adopting Mixed Precision
- Distributed Training at a Glance
- Training with Multiple CPUs
- Training with Multiple GPUs
- Training with Multiple Machines

Über Autor(innen)

Alves Maicon Melo:
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.