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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20210916T132449Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210706T110000
DTEND;TZID=Europe/Stockholm:20210706T113000
UID:submissions.pasc-conference.org_PASC21_sess128_msa112@linklings.com
SUMMARY:Towards High-Fidelity Industrial Fluid Dynamics Simulations at Hig
 h Order
DESCRIPTION:Minisymposium\n\nTowards High-Fidelity Industrial Fluid Dynami
 cs Simulations at High Order\n\nMoxey\n\nAs engineers look to increase the
  fidelity of their simulations, there is a keen interest in moving away fr
 om present industry-standard techniques such as RANS, which is implemented
  at the heart of most commerical software, towards transient large eddy si
 mulations (LES), which offer increased fidelity with an associated increas
 e in computational cost. To enable LES in reasonable timescales requires a
 n increase in solver speed that, to date, commercial software has not been
  able to provide, despite dramatic increases in the calculation power of m
 odern computational hardware. A promising route towards the goal of routin
 e high-fidelity simulations is the use of higher-order methods, with an in
 creased arithmetic intensity allowing them to address memory bandwidth bot
 tlenecks present in modern hardware. The use of matrix-free methods, which
  avoid the generation of memory-expensive elemental matrices, alongside su
 m-factorisation evaluation techniques, is a central focus of the high-orde
 r community. This talk will discuss the challenges of this strategy within
  the setting of LES and industrial CFD problems. In particular, the comple
 x geometries that regularly arise in industrial CFD problems typically req
 uire the use of hybrid meshes of different element types, which to date ha
 ve not been well-studied from a matrix-free perspective. We present the re
 sults of a performance analysis on modern CPU and GPU architectures that d
 emonstrates the efficacy of this scheme when applied to complex geometries
 .\n\nDomain: CS and Math, Physics, Engineering
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