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DTSTAMP:20260522T162631Z
LOCATION:Bldg. 6 - Room 002
DTSTART;TZID=Europe/Stockholm:20260701T123000
DTEND;TZID=Europe/Stockholm:20260701T130000
UID:submissions.pasc-conference.org_PASC26_sess172_pap108@linklings.com
SUMMARY:OpenMP Target Offloading for Hybrid Fluid–Kinetic Plasma Simulatio
 ns in JOREK: Accelerating Fusion Research on GPU Enabled Clusters
DESCRIPTION:Patrik Rác, Edoardo Carrà, Ihor Holod, and Matthias Hölzl (Max
  Planck Institute for Plasma Physics)\n\nThe study of plasma instabilities
  in magnetic confinement fusion devices is crucial for the design and oper
 ation of future fusion power plants. Numerical simulations play a key role
  in understanding these complex physical phenomena. The finite element cod
 e JOREK implements magnetohydrodynamic (MHD) and hybrid fluid–kinetic mode
 ls to simulate these instabilities and explore potential mitigation strate
 gies. With the increasing prevalence of GPU-accelerated architectures in h
 igh-performance computing, adapting JOREK to efficiently exploit these sys
 tems has become essential. The complexity of the code presents significant
  challenges due to its use of high-order finite elements, various physics 
 models, including a kinetic description of runaway electrons (REs) and the
  fully implicit time stepping required by extreme scale separations in fus
 ion plasmas. We have ported the matrix construction, the iterative solver,
  and the particle loop for the runaway-electron kinetic model to GPUs usin
 g OpenMP target offloading and optimized GPU libraries, achieving good per
 formance and scaling across multiple nodes. These developments mark an imp
 ortant step, enabling large-scale, high-fidelity hybrid fluid–kinetic simu
 lations of tokamak plasmas on GPU-accelerated clusters, accelerating progr
 ess toward predictive, numerical, physics-based fusion reactor design.\n\n
 Session Chair: Andreas Adelmann (Paul Scherrer Institute, ETH Zurich)\n\n
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