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X-LIC-LOCATION:Europe/Stockholm
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TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20230831T095745Z
LOCATION:Wisshorn
DTSTART;TZID=Europe/Stockholm:20230626T170000
DTEND;TZID=Europe/Stockholm:20230626T173000
UID:submissions.pasc-conference.org_PASC23_sess154_msa250@linklings.com
SUMMARY:The Beam, Plasma & Accelerator Simulation Toolkit (BLAST) at Exasc
 ale
DESCRIPTION:Minisymposium\n\nAxel Huebl, Remi Lehe, Edoardo Zoni, Olga Sha
 poval, Ryan T. Sandberg, Marco Garten, Arianna Formenti, Revathi Jambunath
 an, Prabhat Kumar, Kevin Gott, Andrew Myers, Weiqun Zhang, Ann Almgren, Ch
 ad E. Mitchell, and Ji Qiang (Lawrence Berkeley National Laboratory); Alex
 ander Sinn, Severin Diederichs, Angel Ferran Pousa, and Maxence Thevenet (
 DESY); David P. Grote (Lawrence Livermore National Laboratory); Luca Fedel
 i and Thomas Clark (LIDYL); Neil Zaim (CEA); Henri Vincenti (LIDYL); and J
 ean-Luc Vay (Lawrence Berkeley National Laboratory)\n\nParticle accelerato
 rs, among the largest, most complex devices, demand increasingly sophistic
 ated computational tools for the design and optimization of the next gener
 ation of accelerators that will meet the challenges of increasing energy, 
 intensity, accuracy, compactness, complexity and efficiency. It is key tha
 t contemporary software take advantage of the latest advances in computer 
 hardware and scientific software engineering practices, delivering speed, 
 reproducibility and feature composability for the aforementioned challenge
 s. We will describe the Exascale software stack that is being developed at
  the heart of the Beam pLasma Accelerator Simulation Toolkit (BLAST). As a
  highlight, we present how the US DOE Exascale Computing Project (ECP) app
 lication WarpX uses the power of GPUs at scale, which won the 2022 ACM Gor
 don Bell Prize. We will present performance results on the first Exascale 
 supercomputer for the modeling of laser-plasma acceleration. We then descr
 ibe how we are leveraging the ECP experience to develop a new generation e
 cosystem of codes that, combined with machine learning, will enable modeli
 ng from the ultrafast to the ultraprecise for future accelerator design an
 d operations.\n\nDomain: Engineering\n\nSession Chair: Jeremy Johnathan Wi
 lliams (KTH Royal Institute of Technology)
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