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DTSTAMP:20220812T074357Z
LOCATION:Darwin Room
DTSTART;TZID=Europe/Stockholm:20220627T133000
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UID:submissions.pasc-conference.org_PASC22_sess119@linklings.com
SUMMARY:MS1G - Architecture and Performance of Hardware-Independent Framew
 orks for Particle-In-Cell and Grid-Based Methods (Part I)
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\nDDC, a Performance Portable Library Abstr
 acting Computation on Discrete Domains\n\nPadioleau, Bigot, Bourne, Grandg
 irard\n\nMany scientific codes only rely on the features provided by progr
 amming languages and low-level parallel libraries. This results in complex
  codes where three fundamental aspects are interleaved: numerical schemes,
  parallel algorithms and architecture-specific performance optimizations. 
 Although all ...\n\n---------------------\nALPINE: A Set of Performance Po
 rtable Plasma Physics Particle-In-Cell Mini-Apps for Exascale\n\nMuralikri
 shnan, Frey, Vinciguerra, Ligotino, Cerfon...\n\nThe goal of the ALPINE pr
 oject is to create a set of mini-apps covering some relevant plasma physic
 s problems targeting exascale architectures. The mini-apps serves as a pro
 xy for real plasma physics applications. Hence, it can be used as a sandbo
 x for implementing new algorithms and measuring perfo...\n\n--------------
 -------\nA Suite of Particle-In-Cell Codes for Plasma and Accelerator Simu
 lations, Based on the AMReX Framework\n\nLehe\n\nMany plasma and particle 
 accelerator physics problems can be simulated with the Particle-In-Cell te
 chnique. However, depending on the details of the physical system to be si
 mulated, the specifics of the corresponding best-suited PIC loop may diffe
 r considerably (e.g. electromagnetic, electrostatic o...\n\n--------------
 -------\nAlpaka, LLAMA and other Animals - Making PIConGPU Ready for Exasc
 ale\n\nBussmann, Debus, Kluge, Widera, Steiniger...\n\nThe quest for the b
 est architetcure in HPC is ongoing. While the transition from CPUs to GPU 
 architectures has already happened, new architetcures with more intelligen
 ce in chip and better control of workflows are on the horizon. Particle-in
 -cell codes are notoriously hard to optimize for highly par...\n\n\nDomain
 : Computer Science and Applied Mathematics, Engineering, Physics
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