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BEGIN:VEVENT
DTSTAMP:20210402T160558Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201118T083000
DTEND;TZID=America/New_York:20201118T170000
UID:submissions.supercomputing.org_SC20_sess340_spostg114@linklings.com
SUMMARY:Oceananigans.jl: Improving Climate Model Accuracy with Fast and Fr
 iendly Geophysical Fluid Dynamics on GPUs
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nOceananigans.jl: I
 mproving Climate Model Accuracy with Fast and Friendly Geophysical Fluid D
 ynamics on GPUs\n\nRamadhan\n\nClimate models cannot resolve every cloud i
 n the atmosphere and every wave in the ocean, but their collective effects
  can be important for global climate. Climate models rely on ad-hoc surrog
 ate models to resolve the effects of these sub-grid scale physical process
 es. Many existing surrogate models are structurally deficient so they do n
 ot always respect physics and are the largest source of uncertainty in cli
 mate projections.\n\nTo aid in developing and training new, more accurate 
 surrogate models, we developed Oceananigans.jl as a fast and friendly soft
 ware package for the numerical simulation of incompressible, stratified, r
 otating fluid flows on CPUs and GPUs with large eddy simulation turbulence
  closures.\n\nAt SC20 I will highlight the climate research Oceananigans.
 jl is making possible and discuss performance benchmarks (multithreading a
 nd distributed CUDA-aware MPI). I will present some example scripts and sh
 ow how Oceananigans.jl can be run on a laptop or cluster with the same scr
 ipt.\n\nTag: Student Program\n\nRegistration Category: Tech Program Reg Pa
 ss, Exhibits Reg Pass
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