@article{
 title = {Parallelization and optimization of electrostatic Particle-in-Cell/Monte-Carlo Coupled codes as applied to RF discharges},
 type = {article},
 year = {2009},
 identifiers = {[object Object]},
 keywords = {Capacitively coupled plasma,Particle-in-Cell/Monte-Carlo Coupled,Plasma simulation,Poisson solver},
 pages = {1305-1314},
 volume = {180},
 id = {9291ba04-9c84-3cd9-b774-ff45197b8b56},
 created = {2018-02-01T07:46:29.792Z},
 file_attached = {false},
 profile_id = {1a73be13-27f1-3556-95c5-66a76ed8d326},
 last_modified = {2018-02-01T07:46:29.792Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Wang2009},
 source_type = {article},
 private_publication = {false},
 abstract = {We have developed a full paralleled 2D electrostatic Particle-in-Cell/Monte-Carlo Coupled (PIC-MCC) code for capacitively coupled plasma (CCP) simulations. In this code, we distributed the grid between processors along radial direction, and Poisson equation is solved accordingly paralleled. We applied a couple of numerical accelerating technologies: paralleled fast Poisson solver, assembler pushing code, particle sorting and so on. Theoretical analysis and numerical benchmark showed that this parallel framework had good efficiency and scalability. The framework of the code and the optimization technologies and algorithms are discussed, benchmarks and simulation results are also shown. © 2009 Elsevier B.V. All rights reserved.},
 bibtype = {article},
 author = {Wang, Hong Yu and Jiang, Wei and Wang, You Nian},
 journal = {Computer Physics Communications},
 number = {8}
}

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