DocumentCode :
744362
Title :
Big Data: Next-Generation Machines for Big Science
Author :
Hack, James J. ; Papka, Michael E.
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Volume :
17
Issue :
4
fYear :
2015
Firstpage :
63
Lastpage :
65
Abstract :
Addressing the scientific grand challenges identified by the US Department of Energy´s (DOE´s) Office of Science´s programs alone demands a total leadership-class computing capability of 150 to 400 Pflops by the end of this decade. The successors to three of the DOE´s most powerful leadership-class machines are set to arrive in 2017 and 2018-the products of the Collaboration Oak Ridge Argonne Livermore (CORAL) initiative, a national laboratory-industry design/build approach to engineering next-generation petascale computers for grand challenge science. These mission-critical machines will enable discoveries in key scientific fields such as energy, biotechnology, nanotechnology, materials science, and high-performance computing, and serve as a milestone on the path to deploying exascale computing capabilities.
Keywords :
Big Data; natural sciences computing; parallel processing; Big Data; CORAL initiative; Collaboration Oak Ridge Argonne Livermore; US DOE; US Department of Energy; big science; leadership-class machines; mission-critical machines; national laboratory-industry design-build approach; next-generation petascale computers; Big data; Computational modeling; Computer architecture; Computer hacking; High performance computing; Next generation networking; Ports (Computers); Scientific computing; Supercomputers; HPC; High-performance computing; leadership; scientific computing; supercomputers;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2015.78
Filename :
7131411
Link To Document :
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