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DTSTART;TZID=Europe/Stockholm:20230626T170000
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UID:submissions.pasc-conference.org_PASC23_sess159_msa159@linklings.com
SUMMARY:Novel Approaches to Accelerate Chemistry for Climate Models
DESCRIPTION:Minisymposium\n\nMario C. Acosta, Christian Guzman, and Oriol 
 Jorba (Barcelona Supercomputing Center)\n\nThe increase in Earth System Mo
 dels (ESMs) capabilities is strongly linked to the amount of computing pow
 er and data storage capacity available. Exascale ESMs are expected to open
  up a new range of opportunities, from increasing model resolution and lar
 ger ensemble simulations to the integration of new components to increase 
 the accuracy of our predictions. To make this possible, exascale supercomp
 uters will rely on accelerators and specialised hardware. One critical goa
 l to take advantage of the new exascale era is to exploit the new hardware
  and accelerate the models through kernels and data structures suitable fo
 r the new GPU partitions. This should be done by 1) focusing on computatio
 nally intensive parts and 2) optimizing the new kernels to take into accou
 nt the particularities of the accelerators. If we think about computationa
 lly intensive parts, chemistry is usually one of the most time-expensive c
 omponent of climate models, something not trivial because they were writte
 n exclusively for CPUs in the past. However, we aim to achieve an efficien
 t and heterogeneous implementation that exploits both CPU and GPU hardware
 . This talk will cover new solutions to accelerate climate models and the 
 porting of a chemistry module will be used as an example.\n\nDomain: Clima
 te, Weather and Earth Sciences\n\nSession Chair: Michael Schmidt (Sandia N
 ational Laboratories)
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