Parallelization of the Particle-in-cell-Code PATRIC with GPU-Programming
| dc.contributor.author | Fitzek, Jutta | |
| dc.date.accessioned | 2017-06-29T14:30:51Z | |
| dc.date.available | 2017-06-29T14:30:51Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | The Particle-in-cell (PIC) code PATRIC (Particle Tracking Code) is used at the GSI Helmholtz Center for Heavy Ion Reasearch to simulate particles in circular particle accelerators. Parallelization of PIC codes is an open research field and solutions depend very much on the specific problem. The possibilities and limits of GPU integration are being evaluated. General GPU aspects and problems arising from collective particle effects are put into focus with an emphasis on code maintainability and reuse of existing modules. The studies have been performed using NVIDIA⃝R ’s Tesla C2075 GPU. This contribution summarizes the findings. | en |
| dc.identifier.pissn | 0177-0454 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V., Fachgruppe PARS | |
| dc.relation.ispartof | PARS-Mitteilungen: Vol. 32, Nr. 1 | |
| dc.title | Parallelization of the Particle-in-cell-Code PATRIC with GPU-Programming | en |
| dc.type | Text/Journal Article | |
| gi.citation.publisherPlace | Berlin |
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