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024 7 _ |a 10.1109/PDSW-DISCS.2016.006
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100 1 _ |a El Sayed Mohamed, Salem
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111 2 _ |a 2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems
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245 _ _ |a Parallel I/O Characterisation Based on Server-Side Performance Counters
260 _ _ |c 2016
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295 1 0 |a 2016 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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520 _ _ |a Provisioning 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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700 1 _ |a Bolten, Matthias
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700 1 _ |a Pleiter, Dirk
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700 1 _ |a Frings, Wolfgang
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773 _ _ |a 10.1109/PDSW-DISCS.2016.006
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