PNNLs Data Intensive Computing research battles Homeland Security threats
Abstract
The Pacific Northwest National Laboratorys (PNNL's) approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architecture, 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:
- 1057651
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING; DATA INTENSIVE COMPUTING (DIC); MEDICI SOFTWARE; DATA CAPTURE TECHNOLOGIES; ADVANCED ANALYTICS
Citation Formats
Thurman, David, Kielman, Joe, Wolf, Katherine, and Atkinson, David. PNNLs Data Intensive Computing research battles Homeland Security threats. United States: N. p., 2009.
Web.
Thurman, David, Kielman, Joe, Wolf, Katherine, & Atkinson, David. PNNLs Data Intensive Computing research battles Homeland Security threats. United States.
Thurman, David, Kielman, Joe, Wolf, Katherine, and Atkinson, David. Tue .
"PNNLs Data Intensive Computing research battles Homeland Security threats". United States. https://www.osti.gov/servlets/purl/1057651.
@article{osti_1057651,
title = {PNNLs Data Intensive Computing research battles Homeland Security threats},
author = {Thurman, David and Kielman, Joe and Wolf, Katherine and Atkinson, David},
abstractNote = {The Pacific Northwest National Laboratorys (PNNL's) approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architecture, 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 = {Tue Dec 01 00:00:00 EST 2009},
month = {Tue Dec 01 00:00:00 EST 2009}
}