DocumentCode
166671
Title
POSTER: An innovative storage stack addressing extreme scale platforms and Big Data applications
Author
Lofstead, Jay ; Jimenez, Ivo ; Maltzahn, Carlos ; Koziol, Quincey ; Bent, John ; Barton, Eric
Author_Institution
Sandia Nat. Labs., Albuquerque, NM, USA
fYear
2014
fDate
22-26 Sept. 2014
Firstpage
280
Lastpage
281
Abstract
Current production HPC IO stack design is unlikely to offer sufficient features and performance to adequately serve extreme scale science platform requirements as well as Big Data problems. A joint effort between the US Department of Energy´s Office of Advanced Simulation and Computing and Advanced Scientific Computing Research commissioned a project to develop a design and prototype for an IO stack suitable for the extreme scale environment. It will be referred to as the Fast Forward Storage and IO (FFSIO) project. This is a joint effort led by Lawrence Livermore National Laboratory, with the DOE Data Management Nexus leads Rob Ross and Gary Grider as coordinators and contract lead Mark Gary.
Keywords
Big Data; storage management; Advanced Scientific Computing Research; Big Data applications; DOE Data Management Nexus; FFSIO project; Fast Forward Storage and IO project; IO stack; Lawrence Livermore National Laboratory; Office of Advanced Simulation and Computing; US Department of Energy; extreme scale environment; storage stack; Arrays; Buffer storage; Containers; Hardware; Laboratories; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing (CLUSTER), 2014 IEEE International Conference on
Conference_Location
Madrid
Type
conf
DOI
10.1109/CLUSTER.2014.6968760
Filename
6968760
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