The Role of Machine Learning and Artificial Intelligence in High Performance Computing

Michael M. Resch () and Bastian Koller
Additional contact information
Michael M. Resch: University of Stuttgart, High Performance Computing Center Stuttgart (HLRS)
Bastian Koller: University of Stuttgart, High Performance Computing Center Stuttgart (HLRS)

A chapter in Sustained Simulation Performance 2019 and 2020, 2021, pp 151-161 from Springer

Abstract: Abstract High Performance Computing has recently been challenged by the advent of Data Analytics (DA), Machine Learning (ML) and Artificial Intelligence (AI). In this paper we will first look at the situation of HPC which is mainly shaped by the end of Moore’s law and an increase in electrical power consumption. We then explore the role that these technologies can play when coming together. We will look into the situation of HPC and into how DA, ML and AI can change the scientific and industrial usage of simulation on high performance computers. Finally, we make suggestions of how to use the convergence of technologies to solve new problems.

Keywords: High performance computing; Data analytics; Machine learning; Artificial intelligence; Simulation (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-68049-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030680497

DOI: 10.1007/978-3-030-68049-7_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().