{"457281":{"#nid":"457281","#data":{"type":"event","title":"PhD Defense by Seyed Parsa Banihashemi","body":[{"value":"\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ESchool of Civil and Environmental Engineering\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EPh.D. Thesis Defense Announcement\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EParallel Explicit FEM Algorithms Using GPU\u0027s\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EBy:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003ESeyed Parsa Banihashemi\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EAdvisors:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EDr. Kenneth M. Will (CEE), Dr. Richard Vuduc (CSE)\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003EDr. Barry J. Goodno (CEE), Dr. Donald W. White (CEE), Dr. Arash Yavari (CEE)\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003EDate \u0026amp; Time:\u003C\/strong\u003E Thursday, October 22, 2015, at 1:00pm\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Sustainable Education Building, 122\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp align=\u0022center\u0022\u003E\u003C\/p\u003E\u003Cp align=\u0022LEFT\u0022\u003E \u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EThe Explicit Finite Element Method is a powerful tool in nonlinear dynamic finite element analysis. Recent major developments in computational devices, in particular, General Purpose Graphical Processing Units (GPGPU\u0027s) now make it possible to increase the performance of the explicit FEM.\u003C\/p\u003E\u003Cp\u003EThis dissertation investigates existing explicit finite element method algorithms which are then redesigned for GPU\u0027s and implemented. The performance of these algorithms is assessed and a new asynchronous variation integrator spatial decomposition (AVISD) algorithm is developed which is flexible and encompasses all other methods and can be tuned based for a user-defined problem and the performance of the user\u2019s computer.\u003C\/p\u003E\u003Cp\u003EThe mesh dependent performance of the proposed explicit finite element algorithm is studied and verified by implementation. The current research also introduces the use of a Particle Swarm Optimization method to tune the performance of the proposed algorithm automatically given a finite element mesh and the performance characteristics of a user\u2019s computer. For this purpose, a time performance model is developed which depends on the finite element mesh and the machine performance. This time performance model is then used as an objective function to minimize the run-time cost.\u003C\/p\u003E\u003Cp\u003EAlso, based on the performance model provided in this research and predictions about the changes in GPU\u0027s in the near future, the performance of the AVISD method is predicted for future machines. Finally, suggestions and insights based on these results are proposed to help facilitate future explicit FEM development.\u003C\/p\u003E\u003Cp\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Parallel Explicit FEM Algorithms Using GPU\u0027s"}],"uid":"27707","created_gmt":"2015-10-08 14:38:04","changed_gmt":"2016-10-08 02:14:18","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-10-22T14:00:00-04:00","event_time_end":"2015-10-22T16:00:00-04:00","event_time_end_last":"2015-10-22T16:00:00-04:00","gmt_time_start":"2015-10-22 18:00:00","gmt_time_end":"2015-10-22 20:00:00","gmt_time_end_last":"2015-10-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"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":""}}}