EconPapers    
Economics at your fingertips  
 

Load Balanced Particle Simulation with Automated Algorithm Selection

Philipp Neumann (), Fabio Gratl (), Steffen Seckler () and Hans-Joachim Bungartz ()
Additional contact information
Philipp Neumann: Helmut-Schmidt-Universität Hamburg, Department of Mechanical Engineering
Fabio Gratl: Technical University of Munich, Department of Informatics
Steffen Seckler: Technical University of Munich, Department of Informatics
Hans-Joachim Bungartz: Technical University of Munich, Department of Informatics

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 503-511 from Springer

Abstract: Abstract ls1 mardyn is a molecular dynamics (MD) simulation framework for multiphase and multicomponent investigations at small scales with application in process engineering. AutoPas is a library that employs auto-tuning for various particle simulation algorithms, data structures, and node-level parallelization patterns. In the last year, we have focussed on improving the interfaces of AutoPas to support massively parallel, distributed-memory simulations. In this scope, we have revised the incorporation of AutoPas into ls1 mardyn and extended ls1 mardyn by diffusive load balancing.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-80602-6_33

Ordering information: This item can be ordered from
http://www.springer.com/9783030806026

DOI: 10.1007/978-3-030-80602-6_33

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-21
Handle: RePEc:spr:sprchp:978-3-030-80602-6_33