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BEGIN:VEVENT
DTSTAMP:20210916T132449Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210706T113000
DTEND;TZID=Europe/Stockholm:20210706T120000
UID:submissions.pasc-conference.org_PASC21_sess128_msa152@linklings.com
SUMMARY:Spliss: Transparent Integration of Emerging HPC Technologies into 
 CFD Solvers and Applications
DESCRIPTION:Minisymposium\n\nSpliss: Transparent Integration of Emerging H
 PC Technologies into CFD Solvers and Applications\n\nWagner, Krzikalla, Re
 mpke, Gerhold\n\nSolving linear equation systems is an integral part of im
 plicit methods in computational fluid dynamics (CFD). It affects their num
 erical robustness as well as their computational efficiency. The efficient
  solving of large linear systems that result from the discretization of th
 e Reynolds-averaged Navier-Stokes equations (RANS) in CFD methods requires
  algorithms that are well adapted to the specific numerical problems, whic
 h is usually not covered by generic solver libraries. The Sparse Linear Sy
 stem Solver (Spliss) aims to provide a linear solver library that, on the 
 one hand, is tailored to requirements of CFD applications but, on the othe
 r hand, independent of the particular CFD solver. Focusing on the specific
  task of solving linear systems allows for integrating more advanced, but 
 also more complex, hardware-specific optimizations, while at the same time
  hiding this complexity from the CFD solver. One example is the usage of G
 PUs. Spliss enables the execution of the computationally intensive linear 
 solver on GPUs in a transparent way. This way, the CFD solver can leverage
  GPUs without the necessity of any code adaption. We evaluate first perfor
 mance results on a GPU cluster and compare Spliss to established libraries
  to study correctness and performance.\n\nDomain: CS and Math, Physics, En
 gineering
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