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

Researchers are collaborating to build intelligent systems that exploit real datasets using ML techniques to address problems and challenges in diverse research fields. Future HPC systems will exhibit increased heterogeneity and need to be flexible and provide low latency to support new use cases. New programming tools, languages, compilers, and operating systems are needed to provide new abstractions, capabilities, and services. This book discusses recent research efforts in designing and using ML techniques on HPC systems and highlights research challenges and opportunities in the area.

Format: Hardback
Length: 450 pages
Publication date: 30 November 2022
Publisher: IGI Global

Researchers are collaborating vigorously to develop intelligent systems that harness the power of machine learning (ML) techniques to address a wide range of problems and challenges across diverse research fields. The need for increased collaboration between the high-performance computing (HPC) and ML communities is paramount to achieve rapid and seamless progress toward an ecosystem that effectively serves both communities. As semiconductor scaling reaches its limits, future HPC systems are anticipated to exhibit a higher degree of heterogeneity. These systems must be flexible and capable of delivering low latency at all levels to effectively support emerging use cases and paradigms. Furthermore, the development of new tools and benchmarks is essential to overcome the common challenges faced by HPC and ML applications. This includes the need for new programming tools, languages, compilers, and operating and runtime systems that offer innovative abstractions, capabilities, and services.

This book serves as a comprehensive resource for readers interested in exploring the latest research efforts in designing and utilizing ML techniques on HPC systems. It provides an in-depth discussion of some of the remarkable results achieved by cutting-edge contributions in these two fields. Additionally, the book highlights ongoing research works in the intersection of HPC and ML, identifying key research challenges and opportunities in this rapidly evolving domain.

The book is designed to cater to a diverse audience, including students, academics, researchers, computer scientists, computer and electrical engineers, as well as experts in the field of machine learning and high-performance computing. It offers a comprehensive overview of the latest developments, trends, and applications in the intersection of HPC and ML, providing valuable insights and knowledge for those seeking to advance their understanding and expertise in this field.

In conclusion, this book presents a timely and valuable contribution to the field of HPC and ML. By fostering collaboration and highlighting the latest research efforts, it aims to facilitate the development of intelligent systems that can address complex problems and drive innovation across a wide range of industries. Whether you are a student, researcher, or practitioner, this book will provide you with the necessary tools and insights to excel in this rapidly evolving domain.

ISBN-13: 9781668437957