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000834850 0247_ $$2doi$$a10.1109/PDSW-DISCS.2016.006
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000834850 041__ $$aEnglish
000834850 1001_ $$0P:(DE-Juel1)145723$$aEl Sayed Mohamed, Salem$$b0$$ufzj
000834850 1112_ $$a2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems$$cSalt Lake City$$d2016-11-14 - 2016-11-14$$gPDSW-DISCS$$wUSA (UT)
000834850 245__ $$aParallel I/O Characterisation Based on Server-Side Performance Counters
000834850 260__ $$bIEEE$$c2016
000834850 29510 $$a2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS) : [Proceedings] - IEEE, 2016. - ISBN 978-1-5090-5216-5 - doi:10.1109/PDSW-DISCS.2016.006
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000834850 520__ $$aProvisioning of high I/O capabilities for high-end HPC architectures is generally considered a challenge. A good understanding of the characteristics of the utilisation of modern I/O systems can help address the increasing performance gap between I/O and computation. In this paper we present results from an analysis of server-side performance counters that had been collected for multiple years on a parallel file system attached to a peta-scale Blue Gene/P system. We developed a set of general performance characterisation metrics, which we applied to this large dataset.
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000834850 7001_ $$0P:(DE-HGF)0$$aBolten, Matthias$$b1
000834850 7001_ $$0P:(DE-Juel1)144441$$aPleiter, Dirk$$b2$$ufzj
000834850 7001_ $$0P:(DE-Juel1)132108$$aFrings, Wolfgang$$b3$$ufzj
000834850 773__ $$a10.1109/PDSW-DISCS.2016.006
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