Name
Title | ||
|---|---|---|
Particle-field decomposition and domain decomposition in parallel particle-in-cell beam dynamics simulation |
Abstract | ||
|---|---|---|
Particle-in-cell (PIC) simulation is widely used in many branches of physics and engineering. In this paper, we give an analysis of the particle-field decomposition method and the domain decomposition method in parallel particle-in-cell beam dynamics simulation. The parallel performance of the two decomposition methods was studied on the Cray XT4 and the IBM Blue Gene/P Computers. The domain decomposition method shows better scalability but is slower than the particle-field decomposition in most cases (up to a few thousand processors) for macroparticle dominant applications. The particle-field decomposition method also shows less memory usage than the domain decomposition method due to its use of perfect static load balance. For applications with a smaller ratio of macroparticles to grid points, the domain decomposition method exhibits better scalability and faster speed. Application of the particle-field decomposition scheme to high-resolution macroparticle-dominant parallel beam dynamics simulation for a future light source linear accelerator is presented as an example. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.cpc.2010.08.021 | Computer Physics Communications |
Keywords | Field | DocType |
Parallel particle-in-cell simulation,Particle-field decomposition,Domain decomposition | Mathematical optimization,Particle-in-cell,Load balancing (computing),Computer science,Decomposition method (constraint satisfaction),Beam (structure),Linear particle accelerator,Domain decomposition methods,Scalability,Decomposition | Journal |
Volume | Issue | ISSN |
181 | 12 | 0010-4655 |
Citations | PageRank | References |
2 | 0.48 | 1 |
Authors | ||
2 | ||