Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics
5% Pre Publication Discount available until one month after release.

Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics

Belgacem Ben Youssef (King Saud University, Saudi Arabia) and Mohamed Maher Ben Ismail (King Saud University, Saudi Arabia)
Pages: 450
DOI: 10.4018/978-1-6684-3795-7
ISBN13: 9781668437957|ISBN10: 1668437953|EISBN13: 9781668437964
Hardcover:
Forthcoming
$308.75
List Price: $325.00
5% Discount:-$16.25
TOTAL SAVINGS: $16.25
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Forthcoming
$277.88
List Price: $325.00
10% Discount:-$32.50
5% Discount:-$14.63
TOTAL SAVINGS: $47.13
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Forthcoming
$375.25
List Price: $395.00
5% Discount:-$19.75
TOTAL SAVINGS: $19.75
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Description & Coverage
Description:

Researchers are working together to build intelligent systems that exploit a variety of real datasets using ML techniques to address problems and challenges in diverse research fields. More collaboration between the HPC and ML communities is encouraged for rapid and seamless progress toward an ecosystem that effectively serves both of these communities. As the performance improvements provided by semiconductor scaling diminish, future HPC systems are expected to exhibit an increased level of heterogeneity. These systems need to be flexible and provide low latency at all levels to effectively support new use cases and paradigms. Further, new tools and benchmarks are required to overcome the common challenges across HPC and ML applications. New programming tools, languages, compilers, and operating and runtime systems may also be needed to provide new abstractions, capabilities, and services.

This book presents to the reader recent research efforts in designing and using ML techniques on HPC systems, discusses some of the results achieved thus far by cutting-edge contributions, as well as highlights some of the ongoing research works in these two fields. Another objective is to identify research challenges and opportunities in the area spanning the intersection of HPC and ML. It is ideal for students, academics, researchers, computer scientists, computer and electrical engineers, as well as experts in the field of machine learning and high-performance computing.

Coverage:
Table of Contents
Search this Book:
Reset
Editorial Policy
In order to ensure the highest ethical practices are achieved for each book, IGI Global provides a full document of policies and guidelines that all editors, authors, and reviewers are expected to follow. View Full Editorial Policy
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). The full publishing process and peer review are conducted within the IGI Global eEditorial Discovery® online submission system and on average takes 30 days. Learn More
Ethics & Malpractice
IGI Global affirms that ethical publication practices are critical to the successful development of knowledge. Therefore, it is the policy of IGI Global to maintain high ethical standards in all publications. These standards pertain to all books, journals, chapters, and articles accepted for publication. This is in accordance with standard scientific principles and IGI Global’s position as a source of scientific knowledge. Learn More
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.