Caitlin J. Ross, Noah Wolfe, Mark Plagge, C. Carothers, M. Mubarak, R. Ross
{"title":"Using Scientific Visualization Techniques to Visualize Parallel Network Simulations","authors":"Caitlin J. Ross, Noah Wolfe, Mark Plagge, C. Carothers, M. Mubarak, R. Ross","doi":"10.1145/3316480.3322888","DOIUrl":null,"url":null,"abstract":"Although parallel discrete event simulation has been used to simulate and study the performance of various network topologies, little effort has been spent on visualizing the time series data that result from these simulations. Visualization can be useful in multiple aspects of simulation, from debugging and validating models to gaining deeper insights from the data. In this paper, we present our preliminary work in developing 3-dimensional animations of data from optimistic parallel discrete event simulations. The visualizations are developed by using VTK and ParaView, and examples are shown on fat-tree and dragonfly network models using the ROSS simulator. We also discuss our plans for future work with the visualizations and their integration into an in situ analysis and visualization system being currently developed.","PeriodicalId":398793,"journal":{"name":"Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3316480.3322888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Although parallel discrete event simulation has been used to simulate and study the performance of various network topologies, little effort has been spent on visualizing the time series data that result from these simulations. Visualization can be useful in multiple aspects of simulation, from debugging and validating models to gaining deeper insights from the data. In this paper, we present our preliminary work in developing 3-dimensional animations of data from optimistic parallel discrete event simulations. The visualizations are developed by using VTK and ParaView, and examples are shown on fat-tree and dragonfly network models using the ROSS simulator. We also discuss our plans for future work with the visualizations and their integration into an in situ analysis and visualization system being currently developed.