Actions for FY06 LDRD Final Report Data Intensive Computing [electronic resource].

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FY06 LDRD Final Report Data Intensive Computing [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2007.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
PDF-file: 4 pages; size: 87.6 Kbytes
Additional Creators
Lawrence Berkeley National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
The goal of the data intensive LDRD was to investigate the fundamental research issues underlying the application of High Performance Computing (HPC) resources to the challenges of data intensive computing. We explored these issues through four targeted case studies derived from growing LLNL programs: high speed text processing, massive semantic graph analysis, streaming image feature extraction, and processing of streaming sensor data. The ultimate goal of this analysis was to provide scalable data management algorithms to support the development of a predictive knowledge capability consistent with the direction of Aurora.
Report Numbers
E 1.99:ucrl-tr-228102
ucrl-tr-228102
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
02/13/2007.
"ucrl-tr-228102"
Abdulla, G M.
Funding Information
W-7405-ENG-48
View MARC record | catkey: 14344727