4.7 Article

High performance computing of stiff bubble collapse on CPU-GPU heterogeneous platform

期刊

COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 99, 期 -, 页码 246-256

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2021.07.010

关键词

High performance computing; Compressible multiphase flow; Shock waves; Heterogeneous CPU-GPU computing

资金

  1. French National Research Agency ANR [18-CE46-009]
  2. Mesocentre CRIANN [2018004]

向作者/读者索取更多资源

SCB is an efficient fluid solver developed for computing two-phase compressible flows involving strong shocks and expansion waves. It solves a four-equation diffuse-interface model using explicit time stepping. The solver uses a fully parallel environment via MPI and presents a hybrid parallelization strategy based on MPI library and OpenACC.
SCB is an efficient fluid solver developed for computing two-phase compressible flows involving strong shocks and expansion waves. It solves a four-equation diffuse-interface model, which is derived from the five-equation model proposed by Kapila et al. The governing equations are discretized by a finite volume method with explicit time stepping. SCB uses a fully parallel environment via Message Passing Interfaces (MPI). With the fast growing number of heterogeneous computing platforms including disparate hardware architectures, it becomes nowadays necessary to develop hybrid parallelization strategies with a special care to portability. In this context, we present an heterogeneous computing framework based on MPI library and OpenACC. The choice of OpenACC is discussed. Performances, scalability and adaptability are illustrated through a series of tests on an heterogeneous architecture. Validations are proposed on various bubble collapses, in free-field or near a rigid wall. Comparisons are done with existing results and analytical solutions. Furthermore a stiff shock-induced bubble collapse demonstrates the capabilities and the high potential of the code.

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