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DTSTAMP:20220812T074334Z
LOCATION:Foyer 2nd Floor
DTSTART;TZID=Europe/Stockholm:20220628T090000
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UID:submissions.pasc-conference.org_PASC22_sess181_pos130@linklings.com
SUMMARY:P48 - ARM-Powered Numerical Weather Prediction: Running the ECMWF 
 Model on Fugaku
DESCRIPTION:Poster\n\nP48 - ARM-Powered Numerical Weather Prediction: Runn
 ing the ECMWF Model on Fugaku\n\nHatfield, Dueben, Hadade, Nishizawa, Yama
 ura...\n\nThe current top supercomputer in the world is Fugaku, based at t
 he RIKEN Centre for Computational Science (R-CCS) in Japan. Fugaku is nota
 ble not only for its size, with 160,000 nodes providing a peak performance
  of almost half an exaFLOPS, but also for having achieved this speed entir
 ely through ARM CPU technology. Taking advantage of a collaboration betwee
 n the European Centre for Medium-Range Weather Forecasts (ECMWF) and R-CCS
 , we have been evaluating the IFS global atmospheric model on Fugaku for t
 he purposes of numerical weather prediction. We have ported the IFS to Fug
 aku and carried out preliminary benchmarking exercises, with the goal of e
 ventually running computationally-efficient storm-resolving kilometer-scal
 e global atmospheric simulations. In this poster we will recount our exper
 iences in porting the IFS to Fugaku and provide benchmark comparisons with
  ECMWF's brand new AMD-powered supercomputer, the Atos BullSequana XH2000.
  We will also present our attempts to exploit some of Fugaku's unique feat
 ures for IFS simulations, including its very wide vector length and hardwa
 re support for 16-bit floating-point operations.
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