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
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Thesis at KIT – OpenCL on FPGA
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!
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PARALUTION is listed as an OpenCL library on AMD’s webpage
http://developer.amd.com/tools-and-sdks/open-source/
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Report on Block-Preconditioner – ABAQUS, Trilinos, PARALUTION and AGMG
“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/
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Two papers on ME-ILU preconditioners
“Multi-Elimination ILU Preconditioners on GPUs” Dimitar Lukarsk, Hartwig Anzt, Stanimire Tomov, Jack Dongarra http://www.eecs.utk.edu/resources/library/581
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PARALUTION at GTC 2014, 27th March, San Jose
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
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PARALUTION at SC13, 20th Nov, Denver, USA
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
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PARALUTION is listed as a GPU-Accelerated Library on NVIDIA’s webpage
https://developer.nvidia.com/gpu-accelerated-libraries https://developer.nvidia.com/paralution
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PARALUTION at OpenFOAM Meeting (NL) Sept 17, 2013
“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
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