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

Keiichiro Fukazawa; Takeshi Soga; Takayuki Umeda; Takeshi Nanri

doi:10.3233/978-1-61499-843-3-178

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 proceeding › Chapter

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 language	English
Title of host publication	Parallel Computing is Everywhere
Editors	Gerhard R. Joubert, Patrizio Dazzi, Frans Peters, Marco Danelutto, Sanzio Bassini
Publisher	IOS Press BV
Pages	178-187
Number of pages	10
ISBN (Electronic)	9781614998426
DOIs	https://doi.org/10.3233/978-1-61499-843-3-178
Publication status	Published - 2018

Publication series

Name	Advances in Parallel Computing
Volume	32
ISSN (Print)	0927-5452
ISSN (Electronic)	1879-808X

All Science Journal Classification (ASJC) codes

Computer Science(all)

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10.3233/978-1-61499-843-3-178

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Fukazawa, K., Soga, T., Umeda, T., & Nanri, T. (2018). Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL. In G. R. Joubert, P. Dazzi, F. Peters, M. Danelutto, & S. Bassini (Eds.), Parallel Computing is Everywhere (pp. 178-187). (Advances in Parallel Computing; Vol. 32). IOS Press BV. https://doi.org/10.3233/978-1-61499-843-3-178

Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL. / Fukazawa, Keiichiro; Soga, Takeshi; Umeda, Takayuki; Nanri, Takeshi.

Parallel Computing is Everywhere. ed. / Gerhard R. Joubert; Patrizio Dazzi; Frans Peters; Marco Danelutto; Sanzio Bassini. IOS Press BV, 2018. p. 178-187 (Advances in Parallel Computing; Vol. 32).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Fukazawa, K, Soga, T, Umeda, T & Nanri, T 2018, Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL. in GR Joubert, P Dazzi, F Peters, M Danelutto & S Bassini (eds), Parallel Computing is Everywhere. Advances in Parallel Computing, vol. 32, IOS Press BV, pp. 178-187. https://doi.org/10.3233/978-1-61499-843-3-178

Fukazawa K, Soga T, Umeda T, Nanri T. Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL. In Joubert GR, Dazzi P, Peters F, Danelutto M, Bassini S, editors, Parallel Computing is Everywhere. IOS Press BV. 2018. p. 178-187. (Advances in Parallel Computing). https://doi.org/10.3233/978-1-61499-843-3-178

Fukazawa, Keiichiro ; Soga, Takeshi ; Umeda, Takayuki ; Nanri, Takeshi. / Performance Evaluation and Optimization of MagnetoHydroDynamic Simulation for Planetary Magnetosphere with Xeon Phi KNL. Parallel Computing is Everywhere. editor / Gerhard R. Joubert ; Patrizio Dazzi ; Frans Peters ; Marco Danelutto ; Sanzio Bassini. IOS Press BV, 2018. pp. 178-187 (Advances in Parallel Computing).

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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.",

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

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