%0 Conference Proceedings
%T Collaborating CPUs and MICs for Large-Scale LBM Multiphase Flow Simulations
%+ College of Computer Science [Changsha]
%A Xu, Chuanfu
%A Wang, Xi
%A Li, Dali
%A Che, Yonggang
%A Wang, Zhenghua
%Z Part 8: Short Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP International Conference on Network and Parallel Computing (NPC)
%C Hohhot, China
%Y Xiaoxin Tang
%Y Quan Chen
%Y Pradip Bose
%Y Weiming Zheng
%Y Jean-Luc Gaudiot
%I Springer International Publishing
%3 Network and Parallel Computing
%V LNCS-11783
%P 366-370
%8 2019-08-23
%D 2019
%R 10.1007/978-3-030-30709-7_35
%K Heterogeneous parallel computing
%K Lattice Boltzmann methods
%K Many-core processor
%K OpenMP4.5 accelerator programming model
%Z Computer Science [cs]Conference papers
%X This paper highlights the use of the OpenMP4.5 accelerator programming model to collaborate CPUs and Intel Many Integrated Cores (MIC) co-processors for large-scale LBM multiphase flow simulationson the Tianhe-2 supercomputer. To enhance the collaborative efficiency among intra-node CPUs and co-processors, we propose a flexible load balance model with heterogeneous domain decomposition for CPU-MIC task allocation, as well as asynchronous offloading to overlap operations of CPUs and multiple MICs. Tests for 3D multi-phase (liquid and gases) problem (about 100 Billion lattices) simulating drop impact with gravity effect using D3Q19 Lattice Boltzmann discretization and Shan-Chen BGK single relaxation time collision model are presented, achieving a weak parallel efficiency of above 80% in going from 128 to 2048 compute nodes.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-03770526/document
%2 https://inria.hal.science/hal-03770526/file/486810_1_En_35_Chapter.pdf
%L hal-03770526
%U https://inria.hal.science/hal-03770526
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-11783