SCCS Colloquium - Apr 17, 2019

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Date: April 17, 2019
Room: 02.07.023
Time: 15:00 - 16:00


Jan Schopohl: Domain Parallelization of SGDE based Classification

This is a Bachelor's thesis submission talk. Jan is advised by Kilian Röhner.

This thesis describes cluster-level domain-parallelization of an sparse grid density estimation (SGDE) based classification algorithm. The Online phase of the implementation of this algorithm in the SG++ toolbox was parallelized using MPI and the ScaLAPACK library. This means that distributed compute resources can be efficiently used as the implementation is not constrained to one node. Instead of a data-parallel approach, model parallelization was chosen in order to achieve greater flexibility and efficiency on complex grids. The parallel classifier was integrated into the existing datamining pipeline of the SG++ toolbox. The performance of the new approach was evaluated for weak and strong scaling and the influence of parallelization parameters was considered.

Keywords: Sparse Grids, SG++, Classification, Parallelization

Language: English


We are looking for a second talk! Please use the Colloquium registration form.

Details will be announced later.

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