Beyond Exaflop Computing: Reaching the Frontiers of High Performance Computing
Michael M. Resch ()
Additional contact information
Michael M. Resch: University of Stuttgart, Höchstleistungsrechenzentrum Stuttgart (HLRS)
A chapter in Sustained Simulation Performance 2012, 2013, pp 3-12 from Springer
Abstract:
Abstract High Performance Computing (HPC) has over the last years benefitted from a continuous increase in speed of processors and systems. Over time we have reached Megaflops, Gigaflops, Teraflops, and finally in 2010 Petaflops. The next step in the ongoing race for speed is the Exaflop. In the US and in Japan plans are made for systems that are supposed to reach one Exaflop. The timing is not yet clear but estimates are that sometime between 2018 and 2020 such a system might be available. While we debate how and when to install an Exaflop system discussions have started about what we have to expect beyond Exaflops. There is a growing group of people who have a pessimistic view on High Performance Computing assuming that the continuous development might come to an end. However, we should have a more pragmatic view. Facing a change in hardware development should not be seen as an excuse to ignore the potential for improvement in software.
Keywords: High Performance Computing; Clock Frequency; Sustained Performance; Fast System; High Performance Computer (search for similar items in EconPapers)
Date: 2013
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:978-3-642-32454-3_1
Ordering information: This item can be ordered from
http://www.springer.com/9783642324543
DOI: 10.1007/978-3-642-32454-3_1
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 ().