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DTSTAMP:20220812T074357Z
LOCATION:Nairobi Room
DTSTART;TZID=Europe/Stockholm:20220629T110000
DTEND;TZID=Europe/Stockholm:20220629T130000
UID:submissions.pasc-conference.org_PASC22_sess161@linklings.com
SUMMARY:MS5F - Julia for HPC
DESCRIPTION:Minisymposium\n\nNatural sciences and engineering applications
  increasingly leverage advanced computational methods to further improve o
 ur understanding of complex natural systems, using predictive modelling or
  analysing data. However, the flow of large amounts of data and the consta
 nt increase in spatiotemporal model resolution pose new challenges in scie
 ntific software development. Also, high-performance computing (HPC) resour
 ces massively rely on hardware accelerators such as graphical processing u
 nits (GPUs) that need to be efficiently utilised, representing an addition
 al challenge. Performance portability and scalability as well as fast deve
 lopment on large-scale heterogeneous hardware represent crucial aspects in
  scientific software development that can be leveraged by the capabilities
  of the Julia language. The goal of this minisymposium is to bring togethe
 r scientists who work on or show interest in large-scale Julia HPC develop
 ment, including but not restricted to software ecosystems and portable pro
 gramming models for development; GPU computing multiphysics solvers, and m
 ore. The selection of speakers with expertise spanning from computational 
 to domain science, offers a unique opportunity to learn about the latest d
 evelopment of Julia for HPC to drive discoveries in Earth system sciences 
 and Geodynamics using the next generation of integrated climate models and
  3D lithospheric models at unprecedented resolution.\n\nBuilding Composabl
 e Infrastructure for HPC and GPU Computing in Julia\n\nChuravy\n\nJulia is
  a dynamic programming language that is enabling high-productivity while a
 lso enabling high-performance. In contrast to other dynamic languages it i
 s not only used as a front-end to HPC libraries, but also enables the deve
 lopment of fast and composable software written all the way down in Ju...\
 n\n---------------------\nClimaCore.jl: A New Flexible and User-Friendly D
 ynamical Core\n\nBarra, Byrne\n\nThe Climate Modeling Alliance (CliMA) is 
 developing a new Earth System Model (ESM), entirely written in the Julia p
 rogramming language. The CliMA model aims at targeting both CPU and GPU ar
 chitectures, using a common codebase. ClimaCore.jl constitutes the open-so
 urce, light-weight dynamical core (<e...\n\n---------------------\nDevelop
 ment of Multi-GPU Solvers for Nonlinear Multi-Physics with Julia\n\nOmlin,
  Räss, Utkin, Narayanan, Senden\n\nWe present an efficient approach for th
 e development of massively scalable high performance multi-GPU solvers for
  nonlinear multi-physics with Julia. Powerful costless abstractions, multi
 ple dispatch and metaprogramming enable to write a single code that is usa
 ble for both productive protoyping on a...\n\n---------------------\nResol
 ving Complex Three-Dimensional Stress Distribution in Earth’s Lithosphere 
 using a Julia Multi-GPU Framework\n\nMacherel, Podladchikov, Räss, Schmalh
 olz\n\nPower-law viscous flow describes the first-order features of long-t
 erm lithosphere deformation. Due to the ellipticity of the Earth, the lith
 osphere is mechanically analogous to a shell, characterized by a double cu
 rvature, resulting in fundamentally different mechanical characteristics c
 ompared to ...\n\n\nDomain: Climate, Weather and Earth Sciences, Computer 
 Science and Applied Mathematics, Physics
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