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DTSTAMP:20230831T095747Z
LOCATION:Flüela
DTSTART;TZID=Europe/Stockholm:20230628T140000
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UID:submissions.pasc-conference.org_PASC23_sess146_msa190@linklings.com
SUMMARY:Large-Scale Thermo-Mechanical Ice Flow Modelling Using Julia on GP
 U
DESCRIPTION:Minisymposium\n\nIvan Utkin and Ludovic Räss (ETH Zurich, WSL)
 \n\nThe current climate change triggers a critical acceleration of ice los
 s at global scale, may it happen in Antarctica and Greenland or in mountai
 n regions such as the Alps. This situation ultimately poses a threat for c
 oastal regions affected by sea-level rise or in valley-glaciers subject to
  surges and collapses of ice masses. Numerical modelling permits to unders
 tand and predict the evolution of these complex natural systems resolving 
 the underlying physical processes in three dimensions. Moreover, high spat
 ial and temporal resolution is crucial to capture rapid changes in the sys
 tem leading to the formation of, e.g., ice streams or collapse features. I
 n this work, we present innovative software tools which provide a way forw
 ard in ice dynamics and computational Earth sciences by exploiting massive
 ly parallel supercomputing on graphics processing units (GPUs) and scalabl
 e iterative solvers. We use the Julia language because it features high-le
 vel capabilities while facilitating high performance and portability among
 st multiple backends (e.g., multi-core CPUs, and NVIDIA and AMD GPUs). We 
 assess the performance of the GPU-accelerated implementation of the ice fl
 ow model, demonstrate results of benchmarks, and share our experiences usi
 ng Julia for HPC.\n\nDomain: Computer Science, Machine Learning, and Appli
 ed Mathematics 
\n\nSession Chair: Samuel Omlin (ETH Zurich / CSCS)
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