Visualizing the performance of scientific applications executing with parareal combined space-time parallel approach

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dc.contributor.advisorAubanel, Eric
dc.contributor.advisorGerber, Andrew
dc.contributor.authorWang, Mengru
dc.date.accessioned2023-03-01T16:52:58Z
dc.date.available2023-03-01T16:52:58Z
dc.date.issued2016
dc.date.updated2022-12-08T00:00:00Z
dc.description.abstractRecently, manycore and multicore based massively parallel processing architectures, led by GPUs and multicore CPUs, have become the powerful and cost-effective hardware trend in the high performance computing landscape. To incorporate this processing power, various highly efficient parallel algorithms to exploit multilevel parallelism are being designed and developed. Among them, a novel combined space-time parallel approach that uses the parareal algorithm for time parallelization, demonstrates the possible multiplied speedup on top of that achieved with spatial parallelization. This approach is implemented in the EXN/Aero parallel Computational Fluid Dynamics (CFD) solution, developed by Envenio inc. and UNB CFD lab. Notably, the parareal performance with respect to the speedup and convergence when applied into the combined approach, is further complicated with the effects from the parallel spatial solver which hinders effective analysis. As a complementary tool to traditional experimental performance analysis with respect to speedup and convergence, in this thesis we propose a visual analysis platform, called EXN/Vizer, to help better understand and gain valuable insights into the parareal performance in search for potential optimization strategies. EXN/Vizer is designed as a modular and comprehensive GUI application platform based on the NetBeans Platform technology. Within EXN/Vizer, two layered major visualization modules are implemented using JavaFX toolkit along with several external utility library modules. The bottom layer visualization module is the EXNMonitor Trackboard for dynamically monitoring CFD solver control data including the CFD convergence data and field monitoring point data, which is provided by the CFD application as result datasets. The top layer module is the EXNParareal Dashboard as the general visualization framework for parareal solution process and performance analysis with the parareal profiling datasets. The live tests with EXN/Aero CFD simulations have shown that EXN/Vizer is highly efficient while performing interactive visualization tasks upon heavy dataset load of several thousands of data points, with the runtime heap memory consumption around 100MB at most and 60MB on average. In addition, the simulation solver control trackboard module is constructed for visualizing any SQLite database structured datasets and is also generalizable for other types of database structured datasets.
dc.description.copyright© Mengru Wang, 2017
dc.description.noteM.C.S. University of New Brunswick, Faculty of Computer Science, 2017.
dc.formattext/xml
dc.format.extentxiv, 134 pages
dc.format.mediumelectronic
dc.identifier.oclcOCLC# 1353820271
dc.identifier.otherThesis 9922
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/14611
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.subject.lcshParallel processing (Electronic computers) -- Scientific applications.
dc.subject.lcshParallel programming (Computer science) -- Research.
dc.subject.lcshVisual analytics -- Computer programs.
dc.subject.lcshComputational fluid dynamics -- Software.
dc.titleVisualizing the performance of scientific applications executing with parareal combined space-time parallel approach
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.fullnameMaster of Computer Science
thesis.degree.fullnameMasters of Computer Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.C.S.

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