High-Performance Computing in the Time of Uncertainty

author: Petros Koumoutsakos, Department of Computer Science, ETH Zurich
published: Dec. 31, 2015,   recorded: December 2015,   views: 2137
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

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.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: