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DTSTAMP:20220812T074357Z
LOCATION:Singapore Room
DTSTART;TZID=Europe/Stockholm:20220627T133000
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UID:submissions.pasc-conference.org_PASC22_sess118@linklings.com
SUMMARY:MS1D - Interdisciplinary Challenges towards Exascale Fluid Dynamic
 s
DESCRIPTION:Minisymposium\n\nWith exascale computing capabilities on the h
 orizon, we have seen a transition to more heterogeneous architectures with
  various accelerators, such as GPUs. While offering high theoretical peak 
 performance and high memory bandwidth, significant programming investments
  are necessary to exploit these systems efficiently, a challenge that can 
 no longer be ignored with pre and exascale systems like LUMI and Frontier.
  CFD is a natural driver for exascale computing, with a virtually unbounde
 d need for computational resources for accurate simulation of turbulent fl
 uid flow, both for academic and engineering usage. However, established CF
 D codes build on years of verification and validation of their underlying 
 numerical methods, potentially preventing a complete rewrite and rendering
  disruptive code changes a delicate task. Therefore, porting established c
 odes to accelerators poses several interdisciplinary challenges, from form
 ulating suitable numerical methods to applying sound software engineering 
 practices to cope with disruptive code changes. The wide range of topics m
 akes the exascale CFD transition relevant to a broader audience, extending
  outside the traditional fluid dynamics community. This minisymposium aims
  at bringing together the CFD community as a whole, from domain scientists
  to HPC experts, to discuss current and future challenges towards enabling
  exascale fluid dynamics simulations on anticipated accelerated systems.\n
 \nA Framework for In-Situ Estimation of Time-Averaging Uncertainties in T
 urbulent Flow Simulations\n\nGscheidle, Rezaeiravesh, Garcke, Schlatter\n\
 nStatistical terms in turbulent flow simulations are computed combining di
 fferent sample-mean estimators (SMEs) that are, however, uncertain due to 
 the finite number of time samples. The main challenges for accurately quan
 tifying uncertainty in SMEs are to account for the autocorrelations in tur
 bulen...\n\n---------------------\nNeko - Using Modern Fortran to Enable N
 ext Generation Incompressible Flow Simulations on Heterogenous Hardware\n\
 nKarp, Jansson, Schlatter, Markidis\n\nWe are moving to a more heterogeneo
 us computer landscape and our fluid solvers need to accommodate this shift
 . This rapid increase in heterogeneity is a challenge on several levels as
  performance, scalability, and usability need to be maintained in our CFD 
 codes. In this talk, we present our develop...\n\n---------------------\nP
 erformance Portable Modernizations for the Albany Land Ice Model\n\nCarlso
 n, Watkins, Tezaur\n\nTo accommodate the performance needs for the new gen
 eration of supercomputers, Sandia's Albany Land-Ice (ALI) code base is bei
 ng refactored to use the Kokkos performance portability framework. We iden
 tified the main performance bottleneck for the finite element assembly on 
 GPU architectures as ineff...\n\n---------------------\nReducing IO Overhe
 ad with Compression and In-Situ Techniques\n\nJu, Perez, Laure, Schlatter,
  Markidis\n\nCompared to the peak computational performance, I/O performan
 ce grows relatively slowly on High Performance Computing (HPC) systems, wh
 ich also have limited storage capacity. Applications that aim to leverage 
 the full power of Exascale systems will produce large amounts of data that
  need to be store...\n\n\nDomain: Computer Science and Applied Mathematics
 , Engineering
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