Implementation and Optimization of a CFD Solver Using Overlapped Meshes on Multiple MIC Coprocessors

In this paper, we develop and parallelize a CFD solver that supports overlapped meshes on multiple MIC architectures by using multithreaded technique. We optimize the solver through several considerations including vectorization, memory arrangement, and an asynchronous strategy for data exchange on...

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Vydáno v:Scientific programming Ročník 2019; číslo 2019; s. 1 - 12
Hlavní autoři: Ma, Wenpeng, Hu, Xiaodong, Yuan, Wu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
John Wiley & Sons, Inc
Témata:
Algorithms
Architectural engineering
Automation
Codes
Computational physics
Coprocessors
Data exchange
Electronic devices
Finite volume method
Fluid dynamics
Investigations
Microprocessors
Numerical analysis
Optimization
Optimization techniques
Researchers
Simulation
ISSN:1058-9244, 1875-919X
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Abstract In this paper, we develop and parallelize a CFD solver that supports overlapped meshes on multiple MIC architectures by using multithreaded technique. We optimize the solver through several considerations including vectorization, memory arrangement, and an asynchronous strategy for data exchange on multiple devices. Comparisons of different vectorization strategies are made, and the performances of core functions of the solver are reported. Experiments show that about 3.16x speedup can be achieved for the six core functions on a single Intel Xeon Phi 5110P MIC card, and 5.9x speedup can be achieved using two cards compared to an Intel E5-2680 processor for two ONERA M6 wings case.
AbstractList In this paper, we develop and parallelize a CFD solver that supports overlapped meshes on multiple MIC architectures by using multithreaded technique. We optimize the solver through several considerations including vectorization, memory arrangement, and an asynchronous strategy for data exchange on multiple devices. Comparisons of different vectorization strategies are made, and the performances of core functions of the solver are reported. Experiments show that about 3.16x speedup can be achieved for the six core functions on a single Intel Xeon Phi 5110P MIC card, and 5.9x speedup can be achieved using two cards compared to an Intel E5-2680 processor for two ONERA M6 wings case.
Author Hu, Xiaodong
Yuan, Wu
Ma, Wenpeng
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Copyright © 2019 Wenpeng Ma et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms Algorithms
Architectural engineering
Automation
Codes
Computational physics
Coprocessors
Data exchange
Electronic devices
Finite volume method
Fluid dynamics
Investigations
Microprocessors
Numerical analysis
Optimization
Optimization techniques
Researchers
Simulation
Title Implementation and Optimization of a CFD Solver Using Overlapped Meshes on Multiple MIC Coprocessors
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