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CALSCALE:GREGORIAN
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UID:b99901ea-f08b-4ff4-9fcd-0cb88f059200@nexttoyou
DTSTAMP:20261105T155035Z
DTSTART:20261105T200000Z
DTEND:20261105T210000Z
SUMMARY:CEE PhD Defense: Gustavo A. Araújo Rodríguez\, "Heterogenous CPU–G
 PU Parallel Computing for Real-Time Hybrid Simulation"
LOCATION:Green Earth Sciences Building Room 365\, 367 Panama Street\, Stan
 ford\, CA 94305
DESCRIPTION:Abstract: Real-time hybrid simulation (RTHS) combines physical
  experimentation with numerical simulation to investigate the dynamic res
 ponse of complex engineering systems. However\, the fidelity and complexi
 ty of the numerical models used in RTHS are constrained by the computatio
 nal demands of solving the governing equations in real time. Consequently
 \, numerical models in RTHS are often limited in size (e.g.\, fewer than 
 1\,000 degrees of freedom) and rely on simplified representations of comp
 lex physical phenomena\, such as soil–structure interaction (SSI). This d
 issertation investigates heterogeneous CPU–GPU parallel computing to expa
 nd the computational capabilities of RTHS within the open-source OpenSees
  framework. The proposed architecture distributes element and constitutiv
 e state determination across CPU processes while accelerating the solutio
 n of the assembled system and the numerical integration of the equations 
 of motion on a GPU. Existing GPU-accelerated direct and iterative solvers
  are integrated through interchangeable backends\, together with a Python
 -delegated interface for external solver libraries. The computational per
 formance of these implementations is evaluated using structural and soil-
 -structure interaction models ranging from thousands to hundreds of thous
 ands of degrees of freedom. To enable computationally efficient time inte
 gration\, the model-based modified Kolay–Ricles-alpha (MKR-alpha) integra
 tion method is reformulated for CPU-parallelized and GPU-a\n\nhttp://next
 -to-u.app/events/b99901ea-f08b-4ff4-9fcd-0cb88f059200
URL:http://next-to-u.app/events/b99901ea-f08b-4ff4-9fcd-0cb88f059200
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