TY  - CONF
AU  - El Sayed Mohamed, Salem
AU  - Bolten, Matthias
AU  - Pleiter, Dirk
AU  - Frings, Wolfgang
TI  - Parallel I/O Characterisation Based on Server-Side Performance Counters
PB  - IEEE
M1  - FZJ-2017-04738
SP  - 7-12
PY  - 2016
AB  - 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.
T2  - 2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems
CY  - 14 Nov 2016 - 14 Nov 2016, Salt Lake City (USA (UT))
Y2  - 14 Nov 2016 - 14 Nov 2016
M2  - Salt Lake City, USA (UT)
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1109/PDSW-DISCS.2016.006
UR  - https://juser.fz-juelich.de/record/834850
ER  -