A PARALLEL PARTICLE-IN-CELL MODEL FOR THE MASSIVELY PARALLEL PROCESSOR

被引：2

作者：

LIN, CS ^{[1
]}

THRING, AL ^{[1
]}

KOGA, J ^{[1
]}

SEILER, EJ ^{[1
]}

机构：

[1] NASA,GODDARD SPACE FLIGHT CTR,GREENBELT,MD 20771

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 1990年 / 8卷 / 02期

基金：

美国国家航空航天局; 美国国家科学基金会;

关键词：

Computer Simulation--Applications - Computer Systems; Digital--Parallel Processing;

D O I：

10.1016/0743-7315(90)90095-7

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A two-dimensional parallel particle-in-cell (PIC) algorithm was developed for the Massively Parallel Processor (MPP), which has 16,384 processors configured in a 128 × 128 array with nearest-neighbor communication. The developed parallel PIC algorithm loads particles in a cell randomly to a row of processors and fills only half of the processors with particles. Because the vacant processors and the random particle sequence in a row of processors simplify the communication among the processors, the algorithm efficiently sorts particles and performs gather/scatter procedures for collecting charge density according to their cells. From the cell charge density, the algorithm calculates electric fields at the cells by fast Fourier transform. With faster I/O or more array memory, the parallel PIC algorithm can be greatly improved. © 1990.

引用

页码：196 / 199

页数：4

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