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DTSTAMP:20220812T074334Z
LOCATION:Foyer 2nd Floor
DTSTART;TZID=Europe/Stockholm:20220628T090000
DTEND;TZID=Europe/Stockholm:20220628T110000
UID:submissions.pasc-conference.org_PASC22_sess181_pos162@linklings.com
SUMMARY:P37 - Preparing a High-Order Incompressible Flow Solver for Next G
 eneration Supercomputers
DESCRIPTION:Poster\n\nP37 - Preparing a High-Order Incompressible Flow Sol
 ver for Next Generation Supercomputers\n\nKarp, Jansson, Schlatter, Markid
 is\n\nGraphics Processing Units (GPUs) are commonplace in modern high-perf
 ormance computing systems. Of particular interest to us, several upcoming 
 supercomputers in Europe will predominantly use AMD GPU to accelerate thei
 r computations. One of the application domains particularly affected by th
 is shift to GPUs is high-fidelity computational fluid dynamics, where larg
 e-scale simulations are a necessity. To leverage the computing power of fu
 ture supercomputers we need our solvers to cater to these new processing u
 nits. In this work, we describe our development process of the high-fideli
 ty incompressible flow solver Neko which is based on the spectral element 
 method, and how we design Neko to accommodate modern accelerators. We disc
 uss how we offload our computations through a modern Fortran framework and
  describe the differences we have observed between Nvidia and AMD GPUs. We
  provide results with regards to scaling and performance on modern AMD GPU
 s for this type of solver. In addition to performance results, we show an 
 overview of current production runs and efforts using Neko where we utiliz
 e the new computer hardware to make new large-scale detailed simulations o
 f turbulent flows at high Reynolds numbers.
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