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Performance gains in an ESM using parallel ad-hoc file systems

Versick, Stefan; Kirner, Ole ORCID iD icon; Meyer, Jörg; Obermaier, Holger; Soysal, Mehmet

Abstract (englisch):

Earth System Models (ESM) got much more demanding over the last years. Modelled processes got more complex and more and more processes are considered in models. In addition resolutions of the models got higher to improve weather and climate forecasts. This requires faster high performance computers (HPC) and better I/O performance.

Within our Pilot Lab Exascale Earth System Modelling (PL-EESM) we do performance analysis of the ESM EMAC using a standard Lustre file system for output and compare it to the performance using a parallel ad-hoc overlay file system. We will show the impact for two scenarios: one for todays standard amount of output and one with artificial heavy output simulating future ESMs.

An ad-hoc file system is a private parallel file system which is created on-demand for an HPC job using the node-local storage devices, in our case solid-state-disks (SSD). It only exists during the runtime of the job. Therefore output data have to be moved to a permanent file system before the job has finished. Quasi in-situ data analysis and post-processing allows to gain performance as it might result in a decreased amount of data which you have to store - saving disk space and time during the transfer of data to permanent storage. ... mehr

Volltext §
DOI: 10.5445/IR/1000119865
Veröffentlicht am 02.06.2020
DOI: 10.5194/egusphere-egu2020-18121
Cover der Publikation
Zugehörige Institution(en) am KIT Steinbuch Centre for Computing (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Sonstiges
Publikationsdatum 30.04.2020
Sprache Englisch
Identifikator KITopen-ID: 1000119865
HGF-Programm 46.12.01 (POF III, LK 01) Data Life Cycle Labs
Weitere HGF-Programme 46.11.01 (POF III, LK 01) Computational Science and Mathematical Methods
Schlagwörter EMAC, ESM, I/O, BeeOND, Performance, Darshan, Scalasca, NetCDF, pNetCDF
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