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Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process (Paperback or Softback)
Language: English
Published by Packt Publishing 4/30/2024, 2024
ISBN 10: 1805120107 ISBN 13: 9781805120100
Paperback or Softback. Condition: New. Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process. Book.
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Condition: As New. Unread book in perfect condition.
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High Performance Computing in Clouds: Moving HPC Applications to a Scalable and Cost-Effective Environment
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.25
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Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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High Performance Computing in Clouds: Moving HPC Applications to a Scalable and Cost-Effective Environment
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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High Performance Computing in Clouds : Moving Hpc Applications to a Scalable and Cost-effective Environment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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High Performance Computing in Clouds : Moving Hpc Applications to a Scalable and Cost-effective Environment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers.Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.
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Taschenbuch. Condition: Neu. High Performance Computing in Clouds | Moving HPC Applications to a Scalable and Cost-Effective Environment | Edson Borin (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031297717 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers.Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers.Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.
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High Performance Computing in Clouds: Moving Hpc Applications to a Scalable and Cost-effective Environment
Language: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031297687 ISBN 13: 9783031297687
Hardcover. Condition: Brand New. 349 pages. 9.25x6.10x9.21 inches. In Stock.
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Accelerate Model Training with PyTorch 2.X
Language: English
Published by Packt Publishing Limited, 2024
ISBN 10: 1805120107 ISBN 13: 9781805120100
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Accelerate Model Training with PyTorch 2.X
Language: English
Published by Packt Publishing Limited, 2024
ISBN 10: 1805120107 ISBN 13: 9781805120100
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 40.48
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process
Language: English
Published by Packt Publishing Limited, 2024
ISBN 10: 1805120107 ISBN 13: 9781805120100
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 44.64
£ 16.01 shipping
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Condition: New. Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environmentKey Features Reduce the model-building time by applying optimization techniques and approaches Harness the computing power of multiple devices and machines to boost the training process Focus on model quality by quickly evaluating different model configurations Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionThis book, written by an HPC expert with over 25 years of experience, guides you through enhancing model training performance using PyTorch. Here you'll learn how model complexity impacts training time and discover performance tuning levels to expedite the process, as well as utilize PyTorch features, specialized libraries, and efficient data pipelines to optimize training on CPUs and accelerators. You'll also reduce model complexity, adopt mixed precision, and harness the power of multicore systems and multi-GPU environments for distributed training. By the end, you'll be equipped with techniques and strategies to speed up training and focus on building stunning models.What you will learn Compile the model to train it faster Use specialized libraries to optimize the training on the CPU Build a data pipeline to boost GPU execution Simplify the model through pruning and compression techniques Adopt automatic mixed precision without penalizing the model's accuracy Distribute the training step across multiple machines and devicesWho this book is forThis book is for intermediate-level data scientists who want to learn how to leverage PyTorch to speed up the training process of their machine learning models by employing a set of optimization strategies and techniques. To make the most of this book, familiarity with basic concepts of machine learning, PyTorch, and Python is essential. However, there is no obligation to have a prior understanding of distributed computing, accelerators, or multicore processors.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.
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Taschenbuch. Condition: Neu. Accelerate Model Training with PyTorch 2.X | Build more accurate models by boosting the model training process | Maicon Melo Alves | Taschenbuch | Englisch | 2024 | Packt Publishing | EAN 9781805120100 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Condition: new. Questo è un articolo print on demand.
