Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL

Keiichiro Fukazawa, Takeshi Soga, Takayuki Umeda, Takeshi Nanri

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The magnetohydrodynamic (MHD) simulation is often applied to study the global dynamics and configuration of a planetary magnetosphere for the space weather. In this paper, the computational performance of MHD code is evaluated with 128 nodes Xeon Phi KNL of Cray XC40. As the results, the 2D and 3D domain decompositions of SoA (structure of array) make the effective performances and AoS (array of structure) and hybrid parallel computation become low performances. Adding the performance optimizations for Xeon Phi to our MHD simulation code, then we have obtained 2.4 % increase of execution efficiency in total and we achieved 3 TFlops performance gain using 128 nodes.

Original languageEnglish
Title of host publicationParallel Computing is Everywhere
EditorsGerhard R. Joubert, Patrizio Dazzi, Frans Peters, Marco Danelutto, Sanzio Bassini
PublisherIOS Press BV
Pages178-187
Number of pages10
ISBN (Electronic)9781614998426
DOIs
Publication statusPublished - 2018

Publication series

NameAdvances in Parallel Computing
Volume32
ISSN (Print)0927-5452
ISSN (Electronic)1879-808X

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL'. Together they form a unique fingerprint.

Cite this