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DTSTAMP:20241120T082410Z
LOCATION:HG F 1
DTSTART;TZID=Europe/Stockholm:20240604T143000
DTEND;TZID=Europe/Stockholm:20240604T150000
UID:submissions.pasc-conference.org_PASC24_sess178_pap140@linklings.com
SUMMARY:A Portable and Efficient Lagrangian Particle Capability for Ideali
 zed Atmospheric Phenomena
DESCRIPTION:Paper\n\nJohn Dennis, Jian Sun, Sheri Voelz, and George Bryan 
 (National Center of Atmospheric Research) and David Richter (University of
  Notre Dame)\n\nThe Cloud Model version 1 is an atmospheric model that all
 ows for idealized studies of atmospheric phenomena. A new Lagrangian micro
 physics capability has been added, enabling a significantly more accurate 
 representation than the traditional bulk or multi-moment approaches freque
 ntly found in mesoscale atmospheric models. We have utilized a directive-b
 ased approach to enable a single source code to efficiently support execut
 ion on both CPU and GPU-based computing platforms. In addition to the use 
 of accelerator directives, changes to the data structures and the message-
 passing approach used by the Lagrangian particle-based microphysics module
  were necessary to enable efficient execution for a large number of partic
 les. We focus on a configuration that will be used to investigate the impa
 ct of oceanic sea-spray on the atmospheric boundary layer within a hurrica
 ne. We observe a factor of $5.1 \times$ reduction in time to the solution 
 when comparing the execution time for 256 NVIDIA A100 GPUs versus 256 AMD 
 Epyc\textsuperscript{TM} Milan-based compute nodes using 1 billion particl
 es.\n\nDomain: Climate, Weather, and Earth Sciences\n\nSession Chair: Jack
  Atkinson (University of Cambridge)
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