OPOMNIK: IJS KOLOKVIJ, sreda, 09. 12. 2015; ob 13. uri; prof. dr. Petros Koumoutsakos

[Tanja Debevec]

Vabimo vas na 7. predavanje iz sklopa "Kolokviji na IJS" v letu 2015/16, ki bo v sredo, 09. decembra 2015, ob 13. uri v Veliki predavalnici Instituta »Jožef Stefan«  na Jamovi cesti 39 v Ljubljani. Napovednik predavanja najdete tudi na naslovu http://www.ijs.si/ijsw/Koledar_prireditev, posnetke preteklih predavanj pa na http://videolectures.net/kolokviji_ijs. 

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prof. dr. Petros Koumoutsakos

ETH Zürich, Zürich, Švica

 

 

Visokozmogljivi računalniki v času negotovosti

 

Bolj kot kadar koli doslej se zdi, da računalniki povečujejo našo kognitivno sposobnost za reševanje kompleksnih vprašanj. Naša generacija ima dostop to izrednih računalniških tehnologij in vpogled v širok razpon fizikalnih sistemov, ki nima primere. Obenem pa se soočamo z izzivi učinkovite uporabe teh tehnologij pri pravilni integraciji podatkov in prvih principov v simulacijah kompleksnih sistemov. Opisali bomo dosežke pri uporabi masivno paralelnih računalniških arhitektur in poudarili potrebo po tem, da nedoločenosti v simulacijah kvantificiramo s podatki. Pridobljena spoznanja bomo predstavili od plavanja rib in kavitacije do pretakanja krvi v mikrofluidičnem sistemu in vode v nanocevkah.

Predavanje bo v angleščini.

Lepo vabljeni!

 

 

 




We invite you to the 7th Institute colloquium in the academic year 2015/16. The colloquium will be held on Wednesday December 09, 2015 at 1 PM in the main Institute lecture hall, Jamova 39, Ljubljana. To read the abstract click  http://www.ijs.si/ijsw/Koledar_prireditev. Past colloquia are posted on  http://videolectures.net/kolokviji_ijs.

 

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prof. dr. Petros Koumoutsakos

ETH Zürich, Zürich, Switzerland

 

 

High-Performance Computing in the Time of Uncertainty

 

 

More than ever computers hold the promise of enhancing our cognitive capacity to solve complex problems. Our generation has access to extraordinary computing technologies and unprecedented information for a wide range of physical systems. At the same time we are faced with the challenges of effectively using these technologies for the proper integration of data and first principles in the simulation of complex systems.  We will discuss our efforts to harness massively parallel computing architectures and emphasize the need for the data-driven quantification of uncertainties in simulations. The lessons learned will be discussed in the context of applications ranging from fish swimming and cavitation to the flows of blood in microfluidics channels and water in carbon nanotubes.

 

Cordially invited!

 

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