Department of Information Technology

Our goal

is to develop the insights that enable new tools and approaches to make parallel programming easier, and to demonstrate their effectiveness through prototype implementations on real problems.

Theses, Dissertations 2019

2019-02-15 Nikos Nikoleris: Efficient Memory Modeling During Simulation and Native Execution. Location: Sal VIII, Universitetshuset, Time: 9:15
2019-01-23 Stephan Brandauer: Structured Data at 13:15, Room 2446, Institutionen för informationsteknologi, Polacksbacken, Lägerhyddsvägen 2, Uppsala
2019-01-21 Tuan-Phong Ngo: Model Checking of Software Systems under Weak Memory Models at 13:15, Room 2446, Department of Information Technology, Polacksbacken (Lägerhyddsvägen 2), Uppsala

Recent publications

  1. DuctTeip: An efficient programming model for distributed task-based parallel computing. Afshin Zafari, Elisabeth Larsson, and Martin Tillenius. In Parallel Computing, volume 90, 2019.
  2. Multigrid for matrix-free high-order finite element computations on graphics processors. Martin Kronbichler and Karl Ljungkvist. In ACM Transactions on Parallel Computing, volume 6, number 1, pp 2:1-32, 2019.
  3. Exposing inter-process information for efficient PDES of spatial stochastic systems on multicores. Jonatan Lindén, Pavol Bauer, Stefan Engblom, and Bengt Jonsson. In ACM Transactions on Modeling and Computer Simulation, volume 29, number 2, pp 11:1-25, 2019.



Updated  2019-02-14 13:25:29 by Roland Grönroos.