Exhibition of projects from KID/PEL (Co-operative IT-Design course) at KTH

You’re all welcome to see the students excellent work in this year’s KID/PEL course. The theme this year has been Networking without Borders, which is a starting point for exploration into both technical and social domains. And that is something the students really have done!
There will be six projects presenting (tentative names and descriptions below) in the form of an exhibition and we transform the studio into a fair.
• Patient-relative relations
The next of kins to geriatric patients can get the relevant updates on how their relatives are doing
• Chatroulette for unemployed
A service to simplify the process of linking companies and job seekers by using video 
• Campunize
A social linking and events tool for students
• Neibling
A service for shared services between neighbours
• Atingi
A service for people who share the same dreams and want to make them happen
• Recipes and traditions
A tool for storing, sharing and remembering traditions within an extended family
Where: the Visualization Studio (KTH, Lindstedtsv 5, floor 4, down the corridor)
When: Dec 4, 4 PM – 6 PM
There will be some snacks and drinks.

Welcome!

Seminar with Dr Martin Kronbichler

Welcome to an HPCViz seminar!

Time: Wednesday October 24, at 10:15
Place: The VIC studio, Lindstedtsvägen 5

We are happy to have Dr. Martin Kronbichler from Uppsala University visit
KTH: http://www.it.uu.se/katalog/martinkr

Title: Parallel and efficient finite element solvers for flow problems

Abstract: Simulation tools for flows coupled to scalar transport are
presented. The considered applications are convection in the earth’s
mantle and two-phase flow. The solvers use finite elements on adaptive
meshes that are fully distributed between the computational nodes. I will
present scaling experiments with up to 16,384 processors that show good
scaling in all aspects of simulation: mesh adaptation, assembly, and
solution of linear systems. Moreover, I will talk about improving
efficiency of the implementation by replacing sparse matrices by a
matrix-free scheme. It gives considerably speedup on today’s multi-core
nodes due to reduced memory transfer. The work has been published as a
part of the deal.II finite element library.