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DTSTAMP:20260422T143036Z
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DTSTART;TZID=America/New_York:20241119T133000
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UID:submissions.supercomputing.org_SC24_sess460@linklings.com
SUMMARY:ACM Gordon Bell Climate Finalists Presentations
DESCRIPTION:ORBIT: Oak Ridge Base Foundation Model for Earth System Predic
 tability\n\nEarth system predictability is challenged by the complexity of
  environmental dynamics and  variables. Current AI foundation models, alth
 ough advanced by large and heterogeneous data, are constrained by their si
 ze and data integration, limiting their effectiveness in addressing the fu
 ll range of Eart...\n\n\nXiao Wang, Siyan Liu, Aristeidis Tsaris, and Jong
  Youl Choi (Oak Ridge National Laboratory (ORNL)); Ashwin Aji (AMD Researc
 h); and Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, and Prasa
 nna Balaprakash (Oak Ridge National Laboratory (ORNL))\n------------------
 ---\nBoosting Earth System Model Outputs and Saving PetaBytes in Their Sto
 rage Using Exascale Climate Emulators\n\nWe present the design and scalabl
 e implementation of an exascale climate emulator for addressing the comput
 ational and storage requirements of high-resolution Earth System Model sim
 ulations. We utilize the spherical harmonic transform to stochastically mo
 del spatio-temporal variations in climate dat...\n\n\nSameh Abdulah (King 
 Abdullah University of Science and Technology (KAUST)); Allison Baker (Nat
 ional Center for Atmospheric Research (NCAR)); George Bosilca (NVIDIA Corp
 oration); Qinglei Cao (Saint Louis University); Stefano Castruccio (Univer
 sity of Notre Dame); Marc G. Genton and David Keyes (King Abdullah Univers
 ity of Science and Technology (KAUST)); Zubair Khalid (King Abdullah Unive
 rsity of Science and Technology (KAUST), Lahore University of Management S
 ciences); and Hatem Ltaief, Yan Song, Georgiy Stenchikov, and Ying Sun (Ki
 ng Abdullah University of Science and Technology (KAUST))\n---------------
 ------\nA Performance-Portable Kilometer-Scale Global Ocean Model on ORISE
  and New Sunway Heterogeneous Supercomputers\n\nOcean general circulation 
 models (OGCMs) are indispensable for studying multi-scale oceanic processe
 s and climate change. High-resolution ocean simulations require immense co
 mputational power and thus become a challenge in climate science. We prese
 nt LICOMK++, a performance-portable OGCM using Kokko...\n\n\nJunlin Wei an
 d Xiang Han (Computer Network Information Center, Chinese Academy of Scien
 ces); Jiangfeng Yu (Institute of Atmospheric Physics, Chinese Academy of S
 ciences); Jinrong Jiang (Computer Network Information Center, Chinese Acad
 emy of Sciences); Hailong Liu (Laoshan Laboratory, Qingdao, China); Pengfe
 i Lin (Institute of Atmospheric Physics, Chinese Academy of Sciences); Mao
 xue Yu and Kai Xu (Laoshan Laboratory, Qingdao, China); Lian Zhao (Compute
 r Network Information Center, Chinese Academy of Sciences); Pengfei Wang, 
 Weipeng Zheng, Jingwei Xie, Yanzhi Zhou, and Tao Zhang (Institute of Atmos
 pheric Physics, Chinese Academy of Sciences); Feng Zhang (Computer Network
  Information Center, Chinese Academy of Sciences); Yehong Zhang and Yue Yu
  (Peng Cheng Laboratory, Shenzhen, China); Yuzhu Wang (China University of
  Geosciences School of Information Engineering); Yidi Bai and Chen Li (Com
 puter Network Information Center, Chinese Academy of Sciences); Zipeng Yu 
 (Institute of Atmospheric Physics, Chinese Academy of Sciences); and Haoyu
  Deng, Yaxin Li, and Xuebin Chi (Computer Network Information Center, Chin
 ese Academy of Sciences)\n\nRegistration Category: Tech Program Reg Pass\n
 \nSession Chair: John Taylor (The Australian National University)
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