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DTSTAMP:20210916T132528Z
LOCATION:Jean Calvin
DTSTART;TZID=Europe/Stockholm:20210707T140000
DTEND;TZID=Europe/Stockholm:20210707T160000
UID:submissions.pasc-conference.org_PASC21_sess148@linklings.com
SUMMARY:Earth System Modelling on the Supercomputer Summit
DESCRIPTION:Minisymposium\n\nWeather and climate prediction have made sign
 ificant progress over the past decades. Despite this progress there are st
 ill substantial shortcomings including insufficient parallelism, limited s
 calability, portability limitations, and increasing complexity in the appl
 ications. Weather extremes, for example, are still difficult to predict wi
 th sufficient lead time and predicting the impact of climate change at a r
 egional or national level is a big challenge. Improving these predictions 
 promises important economic benefits. One of the key sources of model erro
 r is limited spatial and temporal resolution. Improving resolution transla
 tes into significant computational challenges. This makes it necessary to 
 heavily restructure and optimise weather and climate models for the fastes
 t available supercomputers. This mini-symposium gives an overview of work 
 on porting and optimising four popular earth system models for the superco
 mputer Summit. This includes optimisation for the NVIDIA V100 GPUs as well
  as the IBM Power 9 host CPUs and the Mellanox interconnect. Being able to
  make good use of fat nodes like on Summit will be highly relevant for man
 y domains within the HPC community.\n\nEarthWorks: Towards an Earth System
  Model at Storm Resolving Resolutions\n\nLoft\n\nThe National Center for A
 tmospheric Research (NCAR), along with Colorado State University, have tea
 med up in an NSF-funded project called EarthWorks to develop a (mostly) GP
 U-resident Earth System model capable of running at global storm-resolving
  (GSR) resolutions. Numerous studies have shown that ...\n\n--------------
 -------\nPortability and Performance Efforts for the E3SM-Multiscale Model
 ing Framework on Summit\n\nNorman, Lyngaas, Taylor, hannah, Hillman...\n\n
 The Energy Exascale Earth System Model (E3SM), a high-resolution Global Cl
 imate Model (GCM) funded by the U.S. Department of Energy (DOE), is seekin
 g a better representation of clouds with the Multi-scale Modeling Framewor
 k (MMF) approach, wherein a high-resolution Cloud Resolving Model (CRM) is
  emb...\n\n---------------------\nReaching the Summit – Challenges in Port
 ing and Running WRF on the World’s Largest Supercomputer\n\nAdie\n\nHetero
 geneous, accelerator-based systems are rapidly becoming the new normal for
  scientific computing. Summit is a prime example of this with 95% of its c
 omputing power derived from GPUs, and all future planned DOE systems will 
 be accelerated. As such, our climate and weather models need to adapt to..
 .\n\n---------------------\nESCAPE 2: Energy-efficient SCalable Algorithms
  for Weather and Climate Prediction at Exascale\n\nMueller\n\nIn the simul
 ation of complex multi-scale flow problems, such as those arising in weath
 er and climate modelling, one of the biggest challenges is to satisfy oper
 ational requirements in terms of time-to-solution and available energy wit
 hout compromising the accuracy and stability of the solution. Thes...\n\n\
 nDomain: CS and Math, Climate and Weather
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