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SC²S Colloquium - Jan 24, 2018

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== Sebastian Burreiner: Comparison of classic and task-based scheduling for the local time-stepping in SeisSol using OpenMP ==
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'' This is a Master's thesis introductory talk advised by [[Carsten Uphoff]].''
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The earthquake simulation software SeisSol uses local time-stepping to efficiently calculate large-scale simulations. The multi-threaded work distribution is done by OpenMP and currently a prototype exists that uses the OpenMP task construct.
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This thesis looks into different scheduling options and compares approaches possible through OpenMP tasks with more classic methods like list-based scheduling as well as the current implementation. The goal is to minimize load imbalances and thus improve the overall runtime.
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Keywords: SeisSol, HPC, load balancing, local time-stepping, list-based scheduling
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Language: English
  
 
== Jan Nguyen: Shared-Memory Parallelization of Verlet Lists ==  
 
== Jan Nguyen: Shared-Memory Parallelization of Verlet Lists ==  

Revision as of 15:21, 7 January 2019

Date: Jan 10, 2018
Room: 00.08.053
Time: 15:00 - 15:30/TBD

Sebastian Burreiner: Comparison of classic and task-based scheduling for the local time-stepping in SeisSol using OpenMP

This is a Master's thesis introductory talk advised by Carsten Uphoff.

The earthquake simulation software SeisSol uses local time-stepping to efficiently calculate large-scale simulations. The multi-threaded work distribution is done by OpenMP and currently a prototype exists that uses the OpenMP task construct. This thesis looks into different scheduling options and compares approaches possible through OpenMP tasks with more classic methods like list-based scheduling as well as the current implementation. The goal is to minimize load imbalances and thus improve the overall runtime.

Keywords: SeisSol, HPC, load balancing, local time-stepping, list-based scheduling

Language: English

Jan Nguyen: Shared-Memory Parallelization of Verlet Lists

This is a Bachelor's thesis submission talk advised by Steffen Seckler.

This thesis deals with different algorithms for molecular dynamics simulations. We focus on variants of the Verlet lists. The presented algorithms are implemented in the C++ library AutoPas. For acceleration, the library uses shared-memory parallelization. We ran performance tests of the various implemented methods on the CoolMUC-2 system of the Leibniz Supercomputing Centre. From which we learned that performance, unfortunately, does not grow linearly with the number of threads used. How well we can scale depends on various factors and the algorithm used.

Keywords: Molecular Dynamics, Verlet lists, AutoPas, HPC

Language: German