Open AccessPerformance Optimization and Comparison of the Alternating Direction Implicit CFD Solver on Multi‐core and Many‐Core Architectures
Author(s) -
Deng Liang,
Zhao Dan,
Bai Hanli,
Wang Fang
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.03.011
Subject(s) - solver , computational fluid dynamics , core (optical fiber) , computer science , parallel computing , many core , computational science , mechanics , physics , telecommunications , programming language
We accelerate a double precision Alternating direction implicit (ADI) solver for three‐dimensional compressible Navier‐Stokes equations from our in‐house Computational fluid dynamics (CFD) software on the latest multi‐core and many‐core architectures (Intel Sandy Bridge CPUs, Intel Many integrated core (MIC) coprocessors and NVIDIA Kepler K20c GPUs). Some performance optimization techniques are detailed discussed. We provide an in‐depth analysis on the performance difference between Sandy Bridge and MIC. Experimental results show that the proposed GPU‐enabled ADI solver can achieve a speedup of 5.5 on a Kepler GPU in contrast to two Sandy Bridge CPUs and our optimization techniques can improve the performance of the ADI solver by 2.5‐fold on two Sandy Bridge CPUs and 1.7‐fold on an Intel MIC coprocessor. We perform a cross‐platform performance analysis (between GPU and MIC), which serves as case studies for developers to select the right accelerators for their target applications.