publication . Other literature type . Doctoral thesis . 2019

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Huebl, Axel;
Open Access English
  • Published: 03 Jul 2019
  • Publisher: Zenodo
  • Country: Germany
Abstract
The presented thesis establishes simulations on modern massively parallel computing hardware to investigate relativistic laser-driven plasmas. The latter are of special interest as they may provide a compact source for energetic ion beams. Computer simulations provide valuable insight into ultrafast plasma processes, evolving in the ultrahigh intensity (I0 ≫ 1018 W/cm2) focus of the ultrashort (𝜏0=30-500 fs) laser pulses driving the interaction. Such simulations require high numerical resolution and full geometric treatment for reliable predictions, which can only be addressed with high-performance computing. The open source particle-in-cell code PIConGPU, whic...
Subjects
free text keywords: laser-plasma acceleration, modeling, HPC, GPU, laser-ion acceleration, exascale computing, open source, open data
Related Organizations
Funded by
EC| EUCALL
Project
EUCALL
European Cluster of Advanced Laser Light Sources
  • Funder: European Commission (EC)
  • Project Code: 654220
  • Funding stream: H2020 | RIA
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Zenodo
Other literature type . 2019
Provider: Datacite
ZENODO
Doctoral thesis . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
ROBIS
Doctoral thesis . 2019
Provider: ROBIS
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publication . Other literature type . Doctoral thesis . 2019

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Huebl, Axel;