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DTSTAMP:20230831T095746Z
LOCATION:Flüela
DTSTART;TZID=Europe/Stockholm:20230627T110000
DTEND;TZID=Europe/Stockholm:20230627T113000
UID:submissions.pasc-conference.org_PASC23_sess157_msa112@linklings.com
SUMMARY:Heterogeneous Computing with SYCL in WarpX and AMReX
DESCRIPTION:Minisymposium\n\nAndrew Myers and Weiqun Zhang (Lawrence Berke
 ley National Laboratory)\n\nWarpX is a time-based electrostatic and electr
 omagnetic Particle-in-Cell code that supports many advanced features such 
 as perfectly-matched layers, boosted frame simulations, highly accurate ps
 eudo-spectral solvers, and mesh refinement. It has been applied to a range
  of scientific settings such as plasma-based acceleration, laser-plasma in
 teraction, microelectronics, astrophysical plasmas, and more. WarpX is als
 o a highly parallel and highly optimized code that scales to some of the l
 argest supercomputers in the world. For its performance and capabilities, 
 WarpX relies on many of the features of the AMReX framework, including a p
 erformance portability layer that supports execution on NVIDIA, AMD, and I
 ntel GPUs as well as many-core CPUs. In this talk, I will describe how War
 pX and AMReX achieve performance portability across a variety of heterogen
 ous compute environments, including its use of the SYCL programming model.
 \n\nDomain: Computer Science, Machine Learning, and Applied Mathematics 
\
 n\nSession Chair: Andrey Alekseenko (KTH Royal Institute of Technology, Sc
 iLifeLab)
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