EconPapers    
Economics at your fingertips  
 

Overall Project View at HLRS as the Basis for Optimizing Applications

Björn Dick (), Thomas Beisel () and Manuela Wossough ()
Additional contact information
Björn Dick: High Performance Computing Center Stuttgart
Thomas Beisel: High Performance Computing Center Stuttgart
Manuela Wossough: High Performance Computing Center Stuttgart

A chapter in Sustained Simulation Performance 2018 and 2019, 2020, pp 33-40 from Springer

Abstract: Abstract HLRS, the High Performance Computing Center in Stuttgart, runs one of the most powerful HPC systems in Europe. As HPC systems are expensive resources, one of the main objectives of HLRS is to maximize scientific profit and progress from their usage. In order to achieve this, HLRS wants to ensure an efficient utilization of the HPC resources and advises its users in order to do so. In addition, HLRS committed to improve its sustainability. For data centers, this can be done by optimizing the power consumption. Since performance optimization shortens computing time, it is in a sense transferable to saving energy. Also, in future computer architectures, performance optimization will no longer be achieved by new hardware. Performance bottleneck detection and performance optimization of codes and applications therefore is one of the key challenges in HPC.

Date: 2020
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:978-3-030-39181-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030391812

DOI: 10.1007/978-3-030-39181-2_4

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 ().

 
Page updated 2026-02-09
Handle: RePEc:spr:sprchp:978-3-030-39181-2_4