DocumentCode :
1913573
Title :
Oh, $#*@! Exascale! The Effect of Emerging Architectures on Scientific Discovery
Author :
Moreland, Kenneth
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
224
Lastpage :
231
Abstract :
The predictions for exascale computing are dire. Although we have benefited from a consistent supercomputer architecture design, even across manufacturers, for well over a decade, recent trends indicate that future high-performance computers will have different hardware structure and programming models to which software must adapt. This paper provides an informal discussion on the ways in which changes in high-performance computing architecture will profoundly affect the scalability of our current generation of scientific visualization and analysis codes and how we must adapt our applications, workflows, and attitudes to continue our success at exascale computing.
Keywords :
data visualisation; parallel architectures; parallel machines; workflow management software; exascale computing; high-performance computing architecture; programming models; scientific analysis codes; scientific visualization codes; supercomputer architecture design; workflows; exascale; high-performance computing; parallel visualization; scientific visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.38
Filename :
6495820
Link To Document :
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