{"689372":{"#nid":"689372","#data":{"type":"event","title":"PhD Defense by Mengdi Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp; High-Performance Multiscale Fluid Simulation: GPU-Based Representations, Solvers, and Adaptive Algorithms\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Friday, 17th\u0026nbsp; April 2026\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;10:00 AM - 12:00 PM (Eastern Time)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;CODA C0908 Home Park\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETeams Link:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NzQyYTVjMzQtZjY1NS00ZDc0LTljOGQtYjY1YzhkZGI0MjQ2%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22be1e8809-9fed-468d-b479-4e061696ba91%22%7d\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NzQyYTVjMzQtZjY1NS00ZDc0LTljOGQtYjY1YzhkZGI0MjQ2%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22be1e8809-9fed-468d-b479-4e061696ba91%22%7d\u0022\u003Ehttps:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NzQyYTVjMzQtZjY1NS00ZDc0LTljOGQtYjY1YzhkZGI0MjQ2%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22be1e8809-9fed-468d-b479-4e061696ba91%22%7d\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMengdi Wang\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EPh.D. Student\u003C\/p\u003E\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee members\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Bo Zhu (advisor): School of Interactive\u0026nbsp;Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Gregory Turk: School of Interactive\u0026nbsp;Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Sehoon Ha: School of Interactive\u0026nbsp;Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Eftychios Sifakis: School of Computer, Data \u0026amp;\u0026nbsp;Information Sciences, University of Wisconsin-Madison\u003C\/p\u003E\u003Cp\u003EDr. Matthew Cong: Senior Research Scientist, NVIDIA Corporation\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn this thesis, we develop representations, solvers, and transport algorithms for high-performance multiscale fluid simulation, addressing the challenge that important fluid phenomena such as thin films, sub-grid interfaces, and fine vortical structures span spatial scales far smaller than the simulation domain. First, we introduce specialized representations for regimes where standard volumetric methods are insufficient, including a codimensional SPH method for thin fluid films and a sub-grid interface tracking approach on triangle meshes, enabling accurate and efficient simulation with strong geometric fidelity and mass conservation. Next, we present a fully GPU-resident adaptive simulation framework for large-scale three-dimensional flows, combining an efficient octree data structure, a matrix-free algebraic multigrid solver, and a hybrid flow-map transport scheme to capture rich vortical structures on adaptive grids. Finally, we demonstrate that the proposed system achieves effective resolutions of hundreds of millions of cells on a single GPU and produces high-fidelity simulations with significantly enhanced vortical detail. These results show that combining specialized representations with adaptive GPU algorithms provides an effective approach to simulating multiscale fluid phenomena.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EHigh-Performance Multiscale Fluid Simulation: GPU-Based Representations, Solvers, and Adaptive Algorithms\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"High-Performance Multiscale Fluid Simulation: GPU-Based Representations, Solvers, and Adaptive Algorithms"}],"uid":"27707","created_gmt":"2026-04-01 19:52:06","changed_gmt":"2026-04-01 19:52:38","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-17T10:00:00-04:00","event_time_end":"2026-04-17T12:00:00-04:00","event_time_end_last":"2026-04-17T12:00:00-04:00","gmt_time_start":"2026-04-17 14:00:00","gmt_time_end":"2026-04-17 16:00:00","gmt_time_end_last":"2026-04-17 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA C0908 Home Park","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}