Paperback. Researchers are increasingly using machine learning (ML) models to analyze data and simulate complex systems and phenomena. Small-scale computing systems used for training, validation, and testing of these ML models are no longer sufficient for grand-challenge problems characterized by large volumes of data generated at a much higher rate than before, surpassing by far the computing capabilities currently available in many cyberinfrastructure platforms. By associating high-performance computing (HPC) with ML environments, scientists and engineers would be able to enhance not only the scalability but also the performance of their predictive ML models. The Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics presents recent research efforts in designing and using ML techniques on HPC systems and discusses some of the results achieved thus far by cutting-edge relevant contributions. Covering topics such as data analytics, deep learning, and networking, this major reference work is ideal for computer scientists, academicians, engineers, researchers, scholars, practitioners, librarians, instructors, and students. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N� de ref. del art�culo 9798337316864

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Integrating Machine Learning Into HPC-Based Simulations and Analytics (Paperback)
Editor: IGI Global
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 13: 9798337316864
Encuadernaci�n: Paperback
Estado: new

Acerca de

Sinopsis

Researchers are increasingly using machine learning (ML) models to analyze data and simulate complex systems and phenomena. Small-scale computing systems used for training, validation, and testing of these ML models are no longer sufficient for grand-challenge problems characterized by large volumes of data generated at a much higher rate than before, surpassing by far the computing capabilities currently available in many cyberinfrastructure platforms. By associating high-performance computing (HPC) with ML environments, scientists and engineers would be able to enhance not only the scalability but also the performance of their predictive ML models. The Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics presents recent research efforts in designing and using ML techniques on HPC systems and discusses some of the results achieved thus far by cutting-edge relevant contributions. Covering topics such as data analytics, deep learning, and networking, this major reference work is ideal for computer scientists, academicians, engineers, researchers, scholars, practitioners, librarians, instructors, and students.

Acerca de los autores

Belgacem Ben Youssef holds the post of Associate Professor in the Department of Computer Engineering, College of Computer & Information Sciences at King Saud University, Riyadh, Saudi Arabia. He received his PhD from the Department of Electrical & Computer Engineering, Cullen College of Engineering, University of Houston, Texas, USA. He was previously an Assistant Professor in both the School of Interactive Arts & Technology and the TechOne Program at Simon Fraser University, British Columbia, Canada. His research interests include high-performance computing, machine learning, biological computing, image processing, and spatial thinking in learning and design. He has two years of industrial experience in software development and technical project management. He is a member of the IEEE, IEEE Computer Society, and the ACM.

Mohamed Maher Ben Ismail is an associate professor at the computer science department of the College of Computer and Information Sciences at King Saud University. He received his PhD. degree in Computer Science from the University of Louisville in 2011. His research interests include Pattern Recognition, Machine Learning, Data Mining and Image Processing.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

The Nile Group Pty Ltd
42 Apex Drive, Truganina, VIC, 3029, Australia

Condiciones de venta y env�o

Condiciones de venta

We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.

Condiciones de env�o

Please note that titles are dispatched from our UK and NZ warehouse. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 8-15 days.