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HPC and Data Science in Simulations of Turbulence

Thursday, November 11, 2021

11:00 am - 12:00 pm

About the Event

Simulations of Turbulence have historically been one of the most demanding areas of High Performance Computing. The datasets generated by fluids simulations just keep on growing, and this has forced rethinking of algorithms as well as post-processing techniques. In this talk, Rodolfo Ostilla Monico will present a few ways in which he has modified the underlying algorithms of the codes in order to utilize HPC resources more efficiently. Ostilla Monico will also detail the ways that novel data science techniques such as visualization and approaches such as Dynamic Mode Decomposition are aiding discovery in research.

About the Speaker

Rodolfo Ostilla Monico has been an assistant professor at the University of Houston in the department of Mechanical Engineering since fall 2017. He obtained his bachelor’s degree in Aerospace Engineering from the University of Sevilla (Spain) and an MSc in Aerospace Dynamics from Cranfield University (UK). His Ph.D. thesis was obtained at the University of Twente in the Netherlands, under the supervision of Roberto Verzicco and Detlef Lohse. From there, he moved to Harvard University for a postdoc under Michael Brenner. His research focuses on computational fluid mechanics at high Reynolds numbers, from the fundamental to the applied.


Martin Huarte Espinosa
Associate Director
HPE Data Science Institute