Development and performance analysis of a UPC Particle-in-Cell code

Authors:
Stefano Markidis;Giovanni Lapenta
Affiliations:
University of Illinois at Urbana-Champaign, IL, Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium
Venue:
Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model
Year:
2010

Citing 6
Cited 1

Computer simulation using particles

Computer simulation using particles
UPC performance and potential: a NPB experimental study

Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Iterative Methods for Sparse Linear Systems

Iterative Methods for Sparse Linear Systems
Benchmark Measurements of Current UPC Platforms

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
Implementation and performance of a particle-in-cell code written in Java: Research Articles

Concurrency and Computation: Practice & Experience - 2002 ACM Java Grande–ISCOPE Conference Part II
Multi-scale simulations of plasma with iPIC3D

Mathematics and Computers in Simulation

Parallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C

The Journal of Supercomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The development and the implementation of a Particle-in-Cell code written in the Unified Parallel C (UPC) language for plasma simulations with application to astrophysics and fusion nuclear energy machines are presented. A simple one dimensional electrostatic Particle-in-Cell code has been developed first to investigate the implementation details in the UPC language, and second to study the UPC performance on parallel computers. The initial simulations of plasmas with the UPC Particle-in-Cell code and a study of parallel speed-up of the UPC code up to 128 cores are shown.