%0 Conference Paper
%A El Sayed Mohamed, Salem
%A Bolten, Matthias
%A Pleiter, Dirk
%A Frings, Wolfgang
%T Parallel I/O Characterisation Based on Server-Side Performance Counters
%I IEEE
%M FZJ-2017-04738
%P 7-12
%D 2016
%< 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
%X 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.
%B 2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems
%C 14 Nov 2016 - 14 Nov 2016, Salt Lake City (USA (UT))
Y2 14 Nov 2016 - 14 Nov 2016
M2 Salt Lake City, USA (UT)
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1109/PDSW-DISCS.2016.006
%U https://juser.fz-juelich.de/record/834850