PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

被引：103

作者：

Burau, Heiko ^{[1
]}

Widera, Renee ^{[1
,2
]}

Hoenig, Wolfgang ^{[2
]}

Juckeland, Guido ^{[2
]}

Debus, Alexander

Kluge, Thomas ^{[1
]}

Schramm, Ulrich ^{[1
]}

Cowan, Tomas E. ^{[1
]}

Sauerbrey, Roland ^{[1
]}

Bussmann, Michael

机构：

[1] Forschungszentrum Dresden Rossendorf EV, D-01328 Dresden, Germany

[2] Tech Univ Dresden, Ctr Informat Serv & High Performance Comp ZIH, D-01062 Dresden, Germany

来源：

IEEE TRANSACTIONS ON PLASMA SCIENCE | 2010年 / 38卷 / 10期

关键词：

Electron accelerators; parallel algorithms; parallel architectures; particle beams; plasma waves; simulation software; SIMULATION;

D O I：

10.1109/TPS.2010.2064310

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

The particle-in-cell (PIC) algorithm is one of the most widely used algorithms in computational plasma physics. With the advent of graphical processing units (GPUs), large-scale plasma simulations on inexpensive GPU clusters are in reach. We present an implementation of a fully relativistic plasma PIC algorithm for GPUs based on the NVIDIA CUDA library. It supports a hybrid architecture consisting of single computation nodes interconnected in a standard cluster topology, with each node carrying one or more GPUs. The internode communication is realized using the message-passing interface. The simulation code PIConGPU presented in this paper is, to our knowledge, the first scalable GPU cluster implementation of the PIC algorithm in plasma physics.

引用

页码：2831 / 2839

页数：9

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