Scaling GYSELA code beyond 32K-cores on Blue Gene/Q

Abstract : Gyrokinetic simulations lead to huge computational needs. Up to now, the semi- Lagrangian code Gysela performed large simulations using a few thousands cores (8k cores typically). Simulation with finer resolutions and with kinetic electrons are expected to increase those needs by a huge factor, providing a good example of applications requiring Exascale machines. This paper presents our work to improve Gysela in order to target an architecture that presents one possible way towards Exascale: the Blue Gene/Q. After analyzing the limitations of the code on this architecture, we have implemented three kinds of improvement: computational performance improvements, memory consumption improvements and disk i/o improvements. As a result, we show that the code now scales beyond 32k cores with much improved performances. This will make it possible to target the most powerful machines available and thus handle much larger physical cases.
Liste complète des métadonnées

Cited literature [7 references]  Display  Hide  Download

https://hal.inria.fr/hal-01050322
Contributor : Julien Bigot <>
Submitted on : Friday, July 25, 2014 - 3:14:44 PM
Last modification on : Thursday, February 7, 2019 - 4:02:20 PM
Document(s) archivé(s) le : Tuesday, November 25, 2014 - 6:16:12 PM

File

proc134308.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Julien Bigot, Virginie Grandgirard, Guillaume Latu, Chantal Passeron, Fabien Rozar, et al.. Scaling GYSELA code beyond 32K-cores on Blue Gene/Q. ESAIM: PROCEEDINGS, Jul 2012, Luminy, France. pp.117-135, ⟨10.1051/proc/201343007⟩. ⟨hal-01050322⟩

Share

Metrics

Record views

763

Files downloads

230