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
Link To Document :
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