ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
Computer Physics Communications
Volume 177, Issues 1-2, July 2007, Pages 95-97
Proceedings of the Conference on Computational Physics 2006 - CCP 2006, Conference on Computational Physics 2006
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (86 K)

Article Toolbox
  E-mail Article   
  Add to my Quick Links   
Bookmark and share in 2collab (opens in new window)
Request permission to reuse this article
  Cited By in Scopus (0)
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.cpc.2007.02.092    
How to Cite or Link Using DOI (Opens New Window)

Copyright © 2007 Elsevier B.V. All rights reserved.

UPIC: A framework for massively parallel particle-in-cell codes

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Viktor K. Decyka, E-mail The Corresponding Author

aDepartment of Physics and Astronomy, University of California, Los Angeles, CA 90095-1547, USA


Available online 1 March 2007.

Abstract

The UCLA Parallel Particle-in-Cell (UPIC) Framework, is designed to provide trusted components for building a variety of parallel particle-in-cell (PIC) codes. It is based on the idea that most PIC codes share common algorithms, such as particle pushing and deposit subroutines, solvers for electromagnetic fields, as well as parallel data management, such as passing particles and fields between processors. The framework provides the optimized common algorithms, as well as various skeleton (template) main programs. The user provides specialized subroutines that are specific to his or her problem. It is based on Fortran95, but low level subroutines can easily be called from other languages. Codes based on the framework can run on as few as one processor to as many as 2000, and examples will be presented.

Keywords: Particle-in-cell codes; Parallel computing; Design patterns

Article Outline

1. Introduction
2. Software design
3. Multiple models, levels of accuracy, and architectures
4. Codes based on the framework
Acknowledgements
References

Computer Physics Communications
Volume 177, Issues 1-2, July 2007, Pages 95-97
Proceedings of the Conference on Computational Physics 2006 - CCP 2006, Conference on Computational Physics 2006
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.