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DTSTAMP:20210916T132528Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210707T110000
DTEND;TZID=Europe/Stockholm:20210707T130000
UID:submissions.pasc-conference.org_PASC21_sess122@linklings.com
SUMMARY:Architecture and Performance of Hardware-Independent Frameworks fo
 r Particle-In-Cell 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 the ever-increasing depth of the hierarchy. Hardware as 
 well as performance portability are key capabilities to make efficient use
  of them. Particle-in-cell (PIC) methods are the method of choice in compu
 tational simulations of many physical applications including but not limit
 ed to particle accelerators, nuclear fusion, and astrophysics. Hence, port
 ability in the context of PIC schemes is the need of the hour to carry out
  these extreme-scale simulations in current and next-generation architectu
 res. This mini-symposium will serve as a platform to discuss the architect
 ure and performance of hardware-independent and, thus, portable frameworks
  regarding particle and grid computations.\n\nHardware-Independent Impleme
 ntation of the Particle-in-Cell Code WarpX, based on the AMReX Framework\n
 \nLehe, Almgren, Amorim, Bell, Fedeli...\n\nWarpX is an electromagnetic Pa
 rticle-In-Cell code and is part of the U.S. Department of Energy Exascale 
 Computing Project. WarpX is built on the AMReX framework, which includes n
 ot only tools for mesh refinement and domain decomposition, but also a por
 tability layer for hardware-independent code. Th...\n\n-------------------
 --\nDiscussion session on Architecture and Performance of Hardware-Indepen
 dent Frameworks for Particle-In-Cell Methods, Part 2\n\nAdelmann\n\nIn thi
 s session, we will continue with our discussion on the experiences of the 
 presenters and the audience towards achieving performance portability in m
 odern computing architectures. We will also brainstorm on best practices t
 hat will enable us to utilize exascale machines efficiently and achieve ..
 .\n\n---------------------\nALPINE: A Portable Plasma and Particle-in-Cell
  Mini-App for Exascale\n\nMuralikrishnan, Frey, Adelmann, Cerfon\n\nThe go
 al of the ALPINE project is to create an electrostatic particle-in-cell mi
 ni-app that simulates a set of benchmark problems in plasma physics target
 ing exascale architectures. The mini-app serves as a proxy for real plasma
  physics applications. Hence, it can be used as a sandbox for implementi..
 .\n\n---------------------\nExascale-Ready Particle-in-Cell Simulations wi
 th PIConGPU, Alpaka, Llama and more\n\nBussmann\n\nExascale compute capabi
 lities are around the corner and particle-in-cell codes are among the most
  demanding applications profiting from this. We present latest results on 
 using PIConGPU on some of the top ten HPC systems in the world. With PICon
 GPU being fully portable across compute platforms since...\n\n\nDomain: CS
  and Math, Physics, Engineering
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