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DTSTART;TZID=Europe/Stockholm:20240604T140000
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UID:submissions.pasc-conference.org_PASC24_sess179@linklings.com
SUMMARY:AP2B - ACM Papers Session 2B
DESCRIPTION:Paper\n\nReducing the Impact of I/O Contention in Numerical We
 ather Prediction Workflows at Scale Using DAOS\n\nOperational Numerical We
 ather Prediction (NWP) workflows are highly data-intensive. Data volumes h
 ave increased by many orders of magnitude over the last 40 years, and are 
 expected to continue to do so, especially given the upcoming adoption of M
 achine Learning in forecast processes. Parallel POSIX-...\n\n\nNicolau Man
 ubens Gil (ECMWF, EPCC); Simon D. Smart, Emanuele Danovaro, and Tiago Quin
 tino (ECMWF); and Adrian Jackson (EPCC)\n---------------------\nTowards a 
 GPU-Parallelization of the neXtSIM-DG Dynamical Core\n\nThe cryosphere pla
 ys a significant role in Earth's climate system. Therefore, an accurate si
 mulation of sea ice is of great importance to improve climate projections.
  To enable higher resolution simulations, graphics processing units (GPUs)
  have become increasingly attractive as they offer higher fl...\n\n\nRober
 t Jendersie (Otto-von-Guericke-Universitat Magdeburg); Christian Lessig (E
 CMWF, Otto-von-Guericke-Universitat Magdeburg); and Thomas Richter (Otto-v
 on-Guericke-Universitat Magdeburg)\n---------------------\nMultIO: A Frame
 work for Message-Driven Data Routing For Weather and Climate Simulations\n
 \nIn numerical weather prediction and high-performance computing, the prim
 ary computational bottleneck has gradually evolved from floating-point ari
 thmetic to the throughput of data to and from the storage. This phenomenon
  is commonly referred to as the I/O performance gap. We present MultIO, a 
 set of...\n\n\nDomokos Sarmany, Mirco Valentini, Pedro Maciel, Philipp Gei
 er, Simon Smart, Razvan Aguridan, James Hawkes, and Tiago Quintino (ECMWF)
 \n\nDomain: Climate, Weather, and Earth Sciences, Computational Methods an
 d Applied Mathematics\n\nSession Chair: Thorsten Kurth (NVIDIA Inc.)
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