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DTSTAMP:20220812T074357Z
LOCATION:Darwin Room
DTSTART;TZID=Europe/Stockholm:20220628T110000
DTEND;TZID=Europe/Stockholm:20220628T130000
UID:submissions.pasc-conference.org_PASC22_sess142@linklings.com
SUMMARY:MS3G - Lattice QCD in the Exascale Era: Prospects, Challenges and 
 Impact
DESCRIPTION:Minisymposium\n\nThis minisymposium will explore the physics p
 otential of exascale computing for Lattice Quantum Chromodynamics (QCD) an
 d its impact on our understanding of fundamental particle physics. Novel a
 lgorithms and new computing paradigms, in particular machine learning at t
 he level of Monte Carlo integration and in data analysis will be discussed
 . To fully and efficiently exploit next-generation computing lattice QCD r
 equires significant algorithm development and optimisation – including the
  development of efficient, resilient sparse solvers, redesigned workflows 
 and data management on highly scalable heterogeneous architectures, includ
 ing porting and optimisation of codes for accelerators. These challenges a
 re common across computational domains and for the societal grand challeng
 es addressed in the conference theme. Through talks and a panel discussion
  the minisymposium will elucidate how scientific computing motivated by op
 en questions in fundamental physics leads to computing solutions at exasca
 le that are relevant and timely for many HPC applications.\n\nNew ML/AI Pa
 radigms for Quantum Field Theories\n\nAarts\n\nMachine learning methods of
 fer an unprecedented new avenue for exploration of lattice quantum field t
 heories, for all aspects of the simulation workflow (ensemble generation, 
 observable computation and data analysis). In addition, insights from latt
 ice quantum field theories can yield new ideas for ...\n\n----------------
 -----\nWhat can be Learned from Lattice QCD at Exascale: can We Reuse and 
 Recycle not Reinvent Ideas?\n\nRyan\n\nIn this panel discussion we will ex
 plore how scientific computing which is motivated by open questions in fun
 damental particle physics has led to computing solutions at exascale that 
 are relevant and timely for many HPC application domains. Lattice quantum 
 chromodynamics (QCD) demands leadership cla...\n\n---------------------\nN
 ew Fundamental Physics at the Exascale\n\nDel Debbio\n\nThe fundamental fo
 rces of Nature are described with remarkable accuracy by the so-called Sta
 ndard Model of particle physics, which combines elegantly quantum mechanic
 s and special relativity. A staggering range of experimental results are e
 xpalined in terms of a few fundamental constituents and thei...\n\n-------
 --------------\nTo the Exascale, and Beyond: Computing Challenges in Latti
 ce QCD\n\nClark\n\nAs we move to the Exascale, computational science will 
 have access to an unprecedented amount of computational power.  However, u
 nlike prior generational leaps in performance, harnessing that power will 
 be much more demanding, requiring more than the prior mantra of exposing m
 ore parallelism.  Drive...\n\n\nDomain: Physics
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