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UID:submissions.pasc-conference.org_PASC23_sess146@linklings.com
SUMMARY:MS6B - Julia for HPC: Tooling and Applications (Part 2/2)
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 graphics processing un
 its (GPUs) that need to be efficiently utilised, representing an additiona
 l challenge. Performance portability and scalability as well as fast devel
 opment 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 together
  scientists who work on or show interest in large-scale Julia HPC developm
 ent, including but not restricted to software ecosystems and portable prog
 ramming models for development, GPU computing multiphysics solvers, and mo
 re. The selection of speakers with expertise spanning from computer to dom
 ain science, offers a unique opportunity to learn about the latest develop
 ment of Julia for HPC to drive discoveries in Earth sciences featuring the
  next generation of 3D geophysical fluid dynamics solvers to leverage unpr
 ecedented resolution.\n\nLarge-Scale Thermo-Mechanical Ice Flow Modelling 
 Using Julia on GPU\n\nThe current climate change triggers a critical accel
 eration of ice loss at global scale, may it happen in Antarctica and Green
 land or in mountain regions such as the Alps. This situation ultimately po
 ses a threat for coastal regions affected by sea-level rise or in valley-g
 laciers subject to surges ...\n\n\nIvan Utkin and Ludovic Räss (ETH Zurich
 , WSL)\n---------------------\nAcoustic Full-Waveform Inversion in Julia o
 n Multi-xPUs\n\nFull-waveform inversion (FWI) is a high-resolution techniq
 ue used to infer physical properties of the interior of a medium by runnin
 g numerical simulations and comparing the results with observed waveforms.
  The computational cost and complexity of FWI currently make it unappealin
 g to non experts and...\n\n\nGiacomo Aloisi, Andrea Zunino, Christian Boeh
 m, and Andreas Fichtner (ETH Zurich)\n---------------------\nPanel discuss
 ion\n\nWe will gather a mix of Julia and HPC practitioners to discuss bene
 fits of using Julia for HPC, potential limitations and possible remedies, 
 and the overall state of the Julia for HPC community.\n\n\nSamuel Omlin (E
 TH Zurich / CSCS)\n---------------------\nMassively Parallel Computational
  Fluid Dynamics with Julia and Trixi.jl\n\nHigh performance is often cited
  as one of the core design goals for the Julia programming language. While
  there is ample evidence that this is true for serial computations, there 
 are far fewer examples of parallel computations in traditional HPC areas s
 uch as computational fluid dynamics. In this ta...\n\n\nMichael Schlottke-
 Lakemper (RWTH Aachen University, High-Performance Computing Center Stuttg
 art)\n\nDomain: Computer Science, Machine Learning, and Applied Mathematic
 s 
\n\nSession Chair: Samuel Omlin (ETH Zurich / CSCS)
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