Published Data
These pages provide an access point to data contained in CCFE published journal papers. By selecting a paper, and then a specific figure or table, you can request the related underlying data if it is available for release.
Publication Figures
Publication Date:
0000-00-00
First Author:
D. Samaddar
Title:
Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code
Paper Identifier:
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| Figure Reference | Title | Description | Number of Figure Data Items | Identifier | Download Figure Details | ||
|---|---|---|---|---|---|---|---|
| Figure 1 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 1 | Cartoon to explain the numerical steps involved in the Parareal algorithm. | 0 | CF/16/235 | Download | ||
| Figure 2 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 2 | Plot of the computational mesh for the MAST simulations, along with the machine wall. | 0 | CF/16/246 | Download | ||
| Figure 3 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 3 | Plot of the computational mesh for the DIIID simulations, along with the machine wall. | 0 | CF/16/247 | Download | ||
| Figure 4 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 4 | Density calculated using the SOLPS-Eirene package, for MAST. | 0 | CF/16/248 | Download | ||
| Figure 5 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 5 | Density calculated using the fluid neutrals model in SOLPS, for MAST. | 0 | CF/16/249 | Download | ||
| Figure 6 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 6 | Density plotted for various parareal iterations (k) using the fluid neutrals model in SOLPS as coarse predictor, for MAST. | 0 | CF/16/250 | Download | ||
| Figure 7a | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 7a | Power flux to outer divertor calculated using the fluids model for neutrals in SOLPS, for MAST. | 0 | CF/16/251 | Download | ||
| Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 7b | Power flux to outer divertor calculated using the Eirene package for neutrals in SOLPS, for MAST, as a serial solution with one processor. | 0 | CF/16/252 | Download | |||
| Figure 7c | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 7c | Power flux to outer divertor calculated using the parareal algorithm in SOLPS, for MAST. | 0 | CF/16/253 | Download | ||
| Figure 8 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 8 | Density plotted for various parareal iterations (k) using the fluid neutrals model in SOLPS as coarse predictor, for MAST, for each parareal trime slice = 5. | 0 | CF/16/254 | Download | ||
| Figure 9 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 9 | Maximum total power flux impinging on the upper inboard divertor vs. time plotted for various parareal iterations (k) using the reduced grid model in SOLPS as coarse predictor. | 0 | CF/16/255 | Download | ||
| Figure 10 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 10 | Colors represent computational gain achieved by using the parareal algorithm. NTIMG (along the x-axis) represents the number of time-steps on each time slice solved per processor for the coarse run, and NTIMF (along the y-axis) represents the number of time-steps on each time slice solved per processor for the fine run. | 0 | CF/16/256 | Download | ||
| Figure 11 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 11 | Number of iterations required for convergence plotted against the number of time steps (NTIMF) for the fine computation. 2 cases for MAST are shown with grid sizes 76X36 and 76X18. | 0 | CF/16/257 | Download | ||
| Figure 12 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 12 | Weak scaling plot. Computational gain is plotted against processor numbers, keeping the size of the time slice solved per processor fixed. The plot corresponds to simulations performed for DIIID. | 0 | CF/16/258 | Download | ||
| Figure 13 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 13 | Strong scaling plot. Computational gain is plotted against processor numbers, keeping the size of the total simulated time fixed. The plot corresponds to simulations performed for DIIID. | 0 | CF/16/259 | Download | ||
| Figure 14 | Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code-Fig 14 | Plot compares computational gain achieved by event-based parareal using python framework with a theoretical estimate of gain through traditional mpi implementation, for a MAST simulation. | 0 | CF/16/260 | Download | ||
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