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dc.contributor.authorFenton, Flavio H.en_US
dc.date.accessioned2012-09-17T20:23:58Z
dc.date.available2012-09-17T20:23:58Z
dc.date.issued2012-08-31
dc.identifier.urihttp://hdl.handle.net/1853/44661
dc.descriptionFlavio Fenton is an associate professor in the School of Physics at Georgia Tech. He is an accomplished scholar in the area of biophysics of the heart. He received his PhD from Northeastern University. He served as director of Electrophysiology Research at The Heart Institute at Beth Israel Medical Center in NY, and also worked as a research associate in Biomedical Sciences at Cornell University just prior to joining Georgia Tech.en_US
dc.descriptionPresented on August 31, 2012 from 2:00-3:00 pm in room 2447 of the Klaus Advanced Computing Building on the Georgia Tech campus.en_US
dc.descriptionRuntime: 54:16 minutes.en_US
dc.description.abstractThe heart is an electro-mechanical system in which, under normal conditions, electrical waves propagate in a coordinated manner to initiate an efficient contraction. In pathologic states, propagation can destabilize and exhibit chaotic dynamics mostly produced by single or multiple rapidly rotating spiral/scroll waves that generate complex spatiotemporal patterns of activation that inhibit contraction and can be lethal if untreated. Despite much study, little is known about the actual mechanisms that initiate, perpetuate, and terminate spiral waves in cardiac tissue. In this talk, I will motivate the problem with some experimental examples and then discuss how we study the problem from a computational point of view, from the numerical models derived to represent the dynamics of single cells to the coupling of millions of cells to represent the three-dimensional structure of a working heart. Some of the major difficulties of computer simulations for these kinds of systems include: i) Different orders of magnitude in time scales, from milliseconds to seconds; ii) millions of degrees of freedom over millions of integration steps within irregular domains; and iii) the need for near-real-time simulations. Advances in these areas will be discussed as well as the use of GPUs over the web using webGL?en_US
dc.format.extent54:16 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesComputational Science and Engineering Seminar Seriesen_US
dc.subjectHigh performance computingen_US
dc.subjectGPUen_US
dc.subjectWebGLen_US
dc.titleHigh-performance-computing challenges for heart simulationsen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Physicsen_US


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