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DTSTART:19700308T020000
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DTSTAMP:20211207T055412Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T103000
DTEND;TZID=America/Chicago:20211114T110000
UID:submissions.supercomputing.org_SC21_sess327_ws_hipar101@linklings.com
SUMMARY:Distributing Higher-Dimensional Simulations across Compute Systems
 : A Widely Distributed Combination Technique
DESCRIPTION:Workshop\n\nDistributing Higher-Dimensional Simulations across
  Compute Systems: A Widely Distributed Combination Technique\n\nPollinger,
  Hurler, Obersteiner, Pflüger\n\nThe numerical solution of high-dimensiona
 l PDE problems is essential for many research questions, such as understan
 ding relativistic astrophysics, quantum physics, or hot fusion plasmas. At
  the same time, it is haunted by the curse of dimensionality, rendering fi
 nely resolved simulations infeasible even on modern architectures. The Spa
 rse Grid Combination Technique helps to break the curse of dimensionality 
 for high-dimensional PDE problems to some extent. But even then, simulatio
 ns are restricted by the size of HPC systems. A new implementation based o
 n the open-source code DisCoTec allows to distribute existing solvers even
  across compute systems: The widely distributed combination technique enab
 les simulations at scales that would otherwise be intractable.  This paper
  introduces the extended algorithm and showcases a proof of concept for th
 e remote communication set-up. The scaling properties for the single-syste
 m and two-system cases are presented, and the numerical correctness of the
  implementation is validated.\n\nTag: Online Only, Algorithms, Architectur
 es, Extreme Scale Computing, Heterogeneous Systems, Memory Systems, Parall
 el Programming Languages and Models, Resource Management and Scheduling\n\
 nRegistration Category: Workshop Reg Pass
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