PARALUTION Labs Course Offerings Our training courses give software developers a solid foundation in the latest technologies in GPU computing and provide valuable orientation in current hardware and software. Theory lectures and practical hands-on sessions are employed. Our goal is to give an overview of the basics and benefits of GPU computing technology. In addition, problems
Do you want to write your thesis at KIT (Karlsruhe Institute of Technology) on OpenCL and FPGA? http://cdnc.itec.kit.edu/53_423.php Contact us for details!
The PARALUTION project is funded by the EXIST program for one year!
“Parallel Performance Study of Block-Preconditioned Iterative Methods on Multicore Computer Systems” Ali Dorostkar, Dimitar Lukarski, Björn Lund, Maya Neytcheva, Yvan Notay, Peter Schmidt http://www.it.uu.se/research/publications/reports/2014-007/
“Multi-Elimination ILU Preconditioners on GPUs” Dimitar Lukarsk, Hartwig Anzt, Stanimire Tomov, Jack Dongarra http://www.eecs.utk.edu/resources/library/581
We will present our current development in direction of MPI and multi-GPU support at the GTC conference in San Jose. http://registration.gputechconf.com/quicklink/gf0AvNc
http://www.nvidia.com/content/events/sc13/pdf/SC13-theater-schedule-oct17.pdf The talk has been recorded and it is available on http://www.ustream.tv/recorded/40952552
“Fine-grained parallel iterative solvers in OpenFOAM – utilizing multi-core and GPU devices with PARALUTION” More information on the OpenFOAM (NL) group page or Delft TU / Seminar