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Exascale Plasma-Accelerator Simulations with PIConGPU

Authors :
(0000-0002-3844-3697) Debus, A.
(0000-0003-4861-5584) Kluge, T.
(0000-0003-1642-0459) Widera, R.
(0000-0003-3396-6154) Bastrakov, S.
(0000-0001-8965-1149) Steiniger, K.
(0000-0001-6994-2475) Garten, M.
Lebedev, A.
(0000-0001-7990-9564) Pausch, R.
Meyer, F.
(0000-0001-7042-5088) Pöschel, F.
(0000-0003-1761-2591) Kelling, J.
(0000-0002-9935-4428) Juckeland, G.
(0000-0001-7839-4386) Stephan, J.
Herten, A.
Chandrasekaran, S.
Leinhauser, M.
Young, J.
Davis, J. H.
Diaz, J. M.
Huebl, A.
Hernandez, B.
Chatterjee, R.
Rogers, D.
(0000-0002-8258-3881) Bussmann, M.
(0000-0002-3844-3697) Debus, A.
(0000-0003-4861-5584) Kluge, T.
(0000-0003-1642-0459) Widera, R.
(0000-0003-3396-6154) Bastrakov, S.
(0000-0001-8965-1149) Steiniger, K.
(0000-0001-6994-2475) Garten, M.
Lebedev, A.
(0000-0001-7990-9564) Pausch, R.
Meyer, F.
(0000-0001-7042-5088) Pöschel, F.
(0000-0003-1761-2591) Kelling, J.
(0000-0002-9935-4428) Juckeland, G.
(0000-0001-7839-4386) Stephan, J.
Herten, A.
Chandrasekaran, S.
Leinhauser, M.
Young, J.
Davis, J. H.
Diaz, J. M.
Huebl, A.
Hernandez, B.
Chatterjee, R.
Rogers, D.
(0000-0002-8258-3881) Bussmann, M.
Source :
7th MT Meeting, 01.-3.2.2021, Virtuell, Deutschland
Publication Year :
2021

Abstract

* Next-generation Laser-plasma Accelerators (protons and electrons) require fast and predictive 3D particle-in-cell simulations at the exascale. * PIConGPU is performance portable & available as a single source through Alpaka. * PIConGPU scales to the largest supercomputers of the world, leveraging Alpaka for running on the latest GPUs from NVIDIA (A100) and AMD (MI100) * HIP & OpenMP 5+ backends now available on Alpaka and PIConGPU. * PIConGPU performance scales on Juwels Booster and Summit machines. Starting from typical simulation applications and requirements in laser-plasma accelerators, we present the PIConGPU software stack and current scaling results on large-scale compute clusters. We show results from the Frontier CAAR project and the JUWELS Booster early-access project.

Details

Database :
OAIster
Journal :
7th MT Meeting, 01.-3.2.2021, Virtuell, Deutschland
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415598293
Document Type :
Electronic Resource