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GPU-accelerated time integration of Gross-Pitaevskii equation with discrete exterior calculus

Year of publication

2022

Authors

Kivioja, Markus; Mönkölä, Sanna; Rossi, Tuomo

Abstract

The quantized vortices in superfluids are modeled by the Gross-Pitaevskii equation whose numerical time integration is instrumental in the physics studies of such systems. In this paper, we present a reliable numerical method and its efficient GPU-accelerated implementation for the time integration of the three-dimensional Gross-Pitaevskii equation. The method is based on discrete exterior calculus which allows us the usage of more versatile spatial discretization than traditional finite difference and spectral methods are applicable to. We discretize the problem using six different natural crystal structures and observe the correct choices of spatial tiling to decrease the truncation error and increase the reliability compared to Cartesian grids. We pay attention to the computational performance optimizations of the GPU implementation and measure speedups of up to 152-fold when compared to a reference CPU implementation. We parallelize the implementation further to multiple GPUs and show that 92% of the computation time can fully utilize the additional resources.
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Organizations and authors

University of Jyväskylä

Kivioja Markus

Mönkölä Sanna Orcid -palvelun logo

Rossi Tuomo Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

Elsevier BV

Volume

278

Article number

108427

​Publication forum

53939

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Mathematics; Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1016/j.cpc.2022.108427

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes