Parallel Performance Studies for COMSOL Multiphysics Using Scripting and Batch Processing

dc.contributor.authorPetra, Noemi
dc.contributor.authorGobbert, Matthias K.
dc.date.accessioned2018-10-25T15:18:44Z
dc.date.available2018-10-25T15:18:44Z
dc.date.issued2009
dc.descriptionProceedings of the COMSOL Conference 2009 Boston
dc.description.abstractThe graphical user interface (GUI) of COMSOL Multiphysics offers an effective environment to get started solving problems. For reproducibility of the results, it is often desirable to explore the script-based modeling capabilities of COMSOL with MATLAB. There are also potential benefits of running COMSOL in parallel, specifically by running several computational threads in shared-memory parallelism mode. We use the scripting abilities of COMSOL with MATLAB to study the shared-memory parallel performance of COMSOL, that is, the solution time required by using multi-threading on one multiprocessor, multi-core computer with shared memory among the processors. The performance results show that using more than one thread saves time, but the speedup is not in proportion to the number of cores useden_US
dc.description.sponsorshipThe authors would like to thank Samuel Trahan for his assistance and for contacting COMSOL support and obtaining the con rmation that COMSOL does not run in full distributed memory parallel mode. The hardware used in the computational studies is part of the UMBC High Performance Computing Facility (HPCF). The facility is supported by the U.S. National Science Foundation through the MRI program (grant no. CNS{0821258) and the SCREMS program (grant no. DMS-0821311), with additional substantial support from the University of Maryland, Baltimore County (UMBC). See www.umbc.edu/hpcf for more information on HPCF and the projects using its resources.en_US
dc.description.urihttps://www.comsol.com/paper/parallel-performance-studies-for-comsol-multiphysics-using-scripting-and-batch-processing-6336en_US
dc.format.extent6 pagesen_US
dc.genretechnical reportsen_US
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/M2086390Z
dc.identifier.citationPetra, N. and M.K. Gobbert. "Parallel Performance Studies for COMSOL Multiphysics Using Scripting and Batch Processing" in Proceedings of the COMSOL Conference 2009 Boston. https://www.comsol.com/paper/parallel-performance-studies-for-comsol-multiphysics-using-scripting-and-batch-processing-6336
dc.identifier.urihttp://hdl.handle.net/11603/11690
dc.language.isoen_USen_US
dc.publisherCOMSOL
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2009-4
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectCOMSOL Multiphysicsen_US
dc.subjectScriptingen_US
dc.subjectBatch Processingen_US
dc.subjectgraphical user interface (GUI)en_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleParallel Performance Studies for COMSOL Multiphysics Using Scripting and Batch Processingen_US
dc.title.alternativePerformance Studies with COMSOL Multiphysics via Scripting and Batch Processing

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
PetraGobbertTR2009.pdf
Size:
237.16 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
PetraGobbert.zip
Size:
19.11 KB
Format:
Unknown data format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: