Large-Scale Heterogeneous Computing for 3D Deterministic Particle Transport on Tianhe-2A Supercomputer

Biao Li; Biao Li; Jie Liu; Jie Liu; Xiaoxiong Zhu; Xiaoxiong Zhu; Shengjie Ding; Shengjie Ding

doi:10.3389/fenrg.2021.701437

Frontiers in Energy Research (Aug 2021)

Large-Scale Heterogeneous Computing for 3D Deterministic Particle Transport on Tianhe-2A Supercomputer

Biao Li,
Biao Li,
Jie Liu,
Jie Liu,
Xiaoxiong Zhu,
Xiaoxiong Zhu,
Shengjie Ding,
Shengjie Ding

Affiliations

Biao Li: Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China
Biao Li: Laboratory of Software Engineering for Complex System, National University of Defense Technology, Changsha, China
Jie Liu: Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China
Jie Liu: Laboratory of Software Engineering for Complex System, National University of Defense Technology, Changsha, China
Xiaoxiong Zhu: Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China
Xiaoxiong Zhu: Laboratory of Software Engineering for Complex System, National University of Defense Technology, Changsha, China
Shengjie Ding: Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China
Shengjie Ding: Laboratory of Software Engineering for Complex System, National University of Defense Technology, Changsha, China

DOI: https://doi.org/10.3389/fenrg.2021.701437
Journal volume & issue: Vol. 9

Abstract

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Scalable parallel algorithm for particle transport is one of the main application fields in high-performance computing. Discrete ordinate method (Sn) is one of the most popular deterministic numerical methods for solving particle transport equations. In this paper, we introduce a new method of large-scale heterogeneous computing of one energy group time-independent deterministic discrete ordinates neutron transport in 3D Cartesian geometry (Sweep3D) on Tianhe-2A supercomputer. In heterogeneous programming, we use customized Basic Communication Library (BCL) and Accelerated Computing Library (ACL) to control and communicate between CPU and the Matrix2000 accelerator. We use OpenMP instructions to exploit the parallelism of threads based on Matrix 2000. The test results show that the optimization of applying OpenMP on particle transport algorithm modified by our method can get 11.3 times acceleration at most. On Tianhe-2A supercomputer, the parallel efficiency of 1.01 million cores compared with 170 thousand cores is 52%.

Published in Frontiers in Energy Research

ISSN: 2296-598X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: General Works
Website: https://www.frontiersin.org/journals/energy-research

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