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DTSTAMP:20220812T074357Z
LOCATION:Darwin Room
DTSTART;TZID=Europe/Stockholm:20220627T160000
DTEND;TZID=Europe/Stockholm:20220627T180000
UID:submissions.pasc-conference.org_PASC22_sess130@linklings.com
SUMMARY:MS2G - Architecture and Performance of Hardware-Independent Framew
 orks for Particle-In-Cell and Grid-Based Methods (Part II)
DESCRIPTION:Minisymposium\n\nHeterogeneous computing architectures are una
 voidable moving towards the era of exascale computing. Computing nodes are
  being built with ever increasing depths of hierarchy. Hardware as well as
  performance portability are key capabilities to make efficient use of the
 m. Particle-in-cell (PIC) is the method of choice for computational simula
 tions of many physical applications including, but not limited to, particl
 e accelerators, nuclear fusion and astrophysics. Closely related to PIC sc
 hemes are the semi-Lagrangian methods which offer a grid-based alternative
  for many plasma physics applications. Hence, portability in the context o
 f PIC and semi-Lagrangian schemes is of utmost importance for carrying out
  extreme-scale simulations in current and next generation architectures. T
 his minisymposium will serve as a platform to discuss architecture and per
 formance of hardware-independent and thus portable frameworks regarding pa
 rticle and grid computations.\n\nCabana: a Performance Portable Particle L
 ibrary Built on Kokkos\n\nReeve, Slattery, Junghans, Lebrun-Grandie, Qiu..
 .\n\nWe describe the intent, design, and use of the Cabana library, develo
 ped as part of the Exascale Computing Project by the Co-design center for 
 Particle Applications (CoPA). Cabana extends and works in conjunction with
  Kokkos, a library for performance portability across parallel architectur
 es, speci...\n\n---------------------\nPerformance Portability of Lagrange
 -Stencil-Algorithms using Kokkos\n\nSchild, Räth, Kormann, Hallatschek\n\n
 Fully kinetic plasma simulations using semi-Lagrangian solvers require hig
 h memory resources and efficient shared and distributed parallelization sc
 hemes. The computational most intensiv part of semi-Lagrangian algorithms 
 relies on interpolation algorithms. Using the performance protability fram
 ewor...\n\n---------------------\nDiscussion Session\n\nAdelmann\n\nIn thi
 s discussion session the participants will discuss the performance portabl
 e frameworks for particle-in-cell schemes and grid-based methods for kinet
 ic equations.\n\n---------------------\nFrom Petascale to Exascale: the Vl
 asiator Semi-Lagrangian Grid-Based Plasma Simulation in the Age of GPU Sup
 ercomputing\n\nBattarbee, Ganse, Pfau-Kempf, Alho, Papadakis...\n\nKinetic
  plasma dynamics of near-Earth space impact us through space weather, visi
 ble as beautiful aurorae, and posing various hazards for space missions an
 d satellites. Vlasiator is a global kinetic plasma simulation which models
  the Earth's magnetic domain in six dimensions, solving the Vlasov equa...
 \n\n\nDomain: Computer Science and Applied Mathematics, Engineering, Physi
 cs
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