loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'05)
High Performance Computing in Science and Engineering
Rio de Janeiro, Brazil
October 24-October 27
ISBN: 0-7695-2446-X
ASCII Text
x 
 
Peter W. Haas, Michael M. Resch, "High Performance Computing in Science and Engineering," Computer Architecture and High Performance Computing, Symposium on, pp. 10-18, 17th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CAHPC.2005.27,
author = {Peter W. Haas and Michael M. Resch},
title = {High Performance Computing in Science and Engineering},
journal ={Computer Architecture and High Performance Computing, Symposium on},
volume = {0},
year = {2005},
issn = {1550-6533},
pages = {10-18},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAHPC.2005.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Architecture and High Performance Computing, Symposium on
TI - High Performance Computing in Science and Engineering
SN - 1550-6533
SP10
EP18
A1 - Peter W. Haas,
A1 - Michael M. Resch,
PY - 2005
KW - null
VL - 0
JA - Computer Architecture and High Performance Computing, Symposium on
ER -
 
Peter W. Haas, University of Stuttgart, HLRS
Michael M. Resch, University of Stuttgart, HLRS
High performance computing has gradually shifted from the realm of research into development and partially even into the production cycles of industry. High performance computers therefore have to be integrated into production environments that demand the simultaneous solution of multidisciplinary physics problems. Supercomputer centers can learn from these new challenges imposed by industry. The concepts of work flow and production cycle open up a new horizon for integrating systems and software into what is called a distributed 'Teraflop-Workbench' approach. Terascale storage and communication infrastructures eventually will be needed to support such an environment.
Citation:
Peter W. Haas, Michael M. Resch, "High Performance Computing in Science and Engineering," sbac-pad, pp.10-18, 17th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.