PNNL pushing scientific discovery through data intensive computing breakthroughs
Abstract
The Pacific Northwest National Laboratory's approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architectures, software architectures, and analytic algorithms. Advancements in these areas will help to address, and solve, DIC issues associated with capturing, managing, analyzing and understanding, in near real time, data at volumes and rates that push the frontiers of current technologies.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1057650
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING; DATA INTENSIVE COMPUTING; DIC; ADVANCED ANALYTICS
Citation Formats
Gracio, Deborah, Koppenaal, David, and Leung, Ruby. PNNL pushing scientific discovery through data intensive computing breakthroughs. United States: N. p., 2009.
Web.
Gracio, Deborah, Koppenaal, David, & Leung, Ruby. PNNL pushing scientific discovery through data intensive computing breakthroughs. United States.
Gracio, Deborah, Koppenaal, David, and Leung, Ruby. Sun .
"PNNL pushing scientific discovery through data intensive computing breakthroughs". United States. https://www.osti.gov/servlets/purl/1057650.
@article{osti_1057650,
title = {PNNL pushing scientific discovery through data intensive computing breakthroughs},
author = {Gracio, Deborah and Koppenaal, David and Leung, Ruby},
abstractNote = {The Pacific Northwest National Laboratory's approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architectures, software architectures, and analytic algorithms. Advancements in these areas will help to address, and solve, DIC issues associated with capturing, managing, analyzing and understanding, in near real time, data at volumes and rates that push the frontiers of current technologies.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Nov 01 00:00:00 EDT 2009},
month = {Sun Nov 01 00:00:00 EDT 2009}
}