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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20230831T095747Z
LOCATION:Flüela
DTSTART;TZID=Europe/Stockholm:20230628T143000
DTEND;TZID=Europe/Stockholm:20230628T150000
UID:submissions.pasc-conference.org_PASC23_sess146_msa147@linklings.com
SUMMARY:Massively Parallel Computational Fluid Dynamics with Julia and Tri
 xi.jl
DESCRIPTION:Minisymposium\n\nMichael Schlottke-Lakemper (RWTH Aachen Unive
 rsity, High-Performance Computing Center Stuttgart)\n\nHigh performance is
  often cited as one of the core design goals for the Julia programming lan
 guage. While there is ample evidence that this is true for serial computat
 ions, there are far fewer examples of parallel computations in traditional
  HPC areas such as computational fluid dynamics. In this talk, we will the
 refore present massively parallel scaling results for Trixi.jl, a numerica
 l simulation framework for conservation laws written in Julia. We will dem
 onstrate the ability to scale a flow simulation to more than 50,000 CPU co
 res and illustrate some of the Julia-specific challenges we needed to over
 come to achieve this. Furthermore, we will discuss some lessons learned wh
 ile developing a research code in Julia for computational science at scale
 .\n\nDomain: Computer Science, Machine Learning, and Applied Mathematics 

 \n\nSession Chair: Samuel Omlin (ETH Zurich / CSCS)
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