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UID:submissions.pasc-conference.org_PASC19_sess110_pap_jan115@linklings.co
 m
SUMMARY:Performance Optimisation of the Parallel CFD Code MGLET across Dif
 ferent HPC Platforms
DESCRIPTION:Paper\nPhysics, Engineering\n\nPerformance Optimisation of the
  Parallel CFD Code MGLET across Different HPC Platforms\n\nSakai, Mendez, 
 Strandenes, Ohlerich, Pasichnyk...\n\nThis paper presents the optimization
  techniques implemented to run across four HPC platforms the finite-volume
  computational fluid dynamics (CFD) code MGLET (Multi Grid Large Eddy Turb
 ulence). We analysed and applied refactoring to the parallel communication
  routines, and reduced the memory footprint significantly, resulting in a 
 substantial improvement of the parallel-scaling capability and in an incre
 ase of the maximum number of degrees of freedom for applications. Data str
 uctures and files layout were re-designed for implementing parallel I/O in
  HDF5. The new parallel I/O strategy results in a considerable increase in
  the average data transfer rate compared with the former serial implementa
 tion. An I/O pattern analysis and detailed I/O profiling of the new implem
 entation were then conducted and further performance improvement was achie
 ved by increasing the size of I/O requests and reducing the number of I/O 
 processes. We compare the improved parallel-scaling capability of MGLET on
  different architectures using representative CFD application test cases.<
 br /><br />Full paper: https://doi.org/10.1145/3324989.3325716
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