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DTSTAMP:20241120T082410Z
LOCATION:HG E 3
DTSTART;TZID=Europe/Stockholm:20240604T140000
DTEND;TZID=Europe/Stockholm:20240604T143000
UID:submissions.pasc-conference.org_PASC24_sess182_pap114@linklings.com
SUMMARY:Efficient Computation of Large-Scale Statistical Solutions to Inco
 mpressible Fluid Flows
DESCRIPTION:Paper\n\nTobias Rohner and Siddhartha Mishra (ETH Zurich)\n\nT
 his work presents the development, performance analysis and subsequent opt
 imization of a GPU-based spectral hyperviscosity solver for turbulent flow
 s described by the three dimensional incompressible Navier-Stokes equation
 s. The method solves for the fluid velocity fields directly in Fourier spa
 ce, eliminating the need to solve a large-scale linear system of equations
  in order to find the pressure field. Special focus is put on the communic
 ation intensive transpose operation required by the fast Fourier transform
  when using distributed memory parallelism. After multiple iterations of b
 enchmarking and improving the code, the simulation achieves close to optim
 al performance on the Piz Daint supercomputer cluster, even outperforming 
 the Cray MPI implementation on Piz Daint in its communication routines. Th
 is optimal performance enables the computation of large-scale statistical 
 solutions of incompressible fluid flows in three space dimensions.\n\nDoma
 in: Engineering\n\nSession Chair: Cristina Silvano (Politecnico di Milano)
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