DENG Liang, ZHAO Dan, BAI Hanli, et al., “Performance Optimization and Comparison of the Alternating Direction Implicit CFD Solver on Multi-core and Many-Core Architectures,” Chinese Journal of Electronics, vol. 27, no. 3, pp. 540-548, 2018, doi: 10.1049/cje.2018.03.011
Citation: DENG Liang, ZHAO Dan, BAI Hanli, et al., “Performance Optimization and Comparison of the Alternating Direction Implicit CFD Solver on Multi-core and Many-Core Architectures,” Chinese Journal of Electronics, vol. 27, no. 3, pp. 540-548, 2018, doi: 10.1049/cje.2018.03.011

Performance Optimization and Comparison of the Alternating Direction Implicit CFD Solver on Multi-core and Many-Core Architectures

doi: 10.1049/cje.2018.03.011
Funds:  This work is supported by the National Key Research and Development Program of China (No.2016YFB0200703) and the National Natural Science Foundation of China (No.61379056).
  • Received Date: 2015-12-21
  • Rev Recd Date: 2016-04-09
  • Publish Date: 2018-05-10
  • 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.
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