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Nikola Tchipev, M.Sc.

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Address:
TU München
Institut für Informatik
Boltzmannstr. 3
85748 Garching b. München
Office:
MI 02.05.058
Email:
Tchipevnmail.png
Phone:
(089) 289 18 603
Fax:
(089) 289 18 607
Office hours:
by arrangement

Contents

Interests

  • Molecular Dynamics
  • High-Performance Computing
  • Fast Multipole Method

Student Projects

Open Student Projects

Topics change (frequently) with my ongoing work and depend mostly on the interests and experience of the student. It is best to contact me directly if you are interested in a thesis or student project. Nevertheless, here is a (potentially outdated) list of topics:

  • Planewave acceleration of Fast Multipole Method (Math-intensive)
  • Vectorization and Specialized-FFT Code Generation (mixed HPC & Math & Info)
  • Autotuning for Molecular Dynamics (HPC)
  • Optimization of Dual-Tree-Traversal-based Fast Multipole Method (Informatics)
  • Evaluation and Validation of the Fast Multipole Method (CSE)
  • (?) Other N-Body problems
  • (?) Internal Degrees of Freedom
  • (?) Visual Programming, Android Programming for MD

To get an idea of further possible topics, have a look at the running and finished projects below, as well as the following links: Molecular Dynamics Simulations, High Performance Computing .

Running Student Projects

Finished Student Projects

Volume 2017

  • F. Gratl: Task Based Parallelization of the Fast Multipole Method implementation of ls1-mardyn via QuickSched [pdf] [BibTeX].
    Master's thesis, Institut für Informatik 5, Technische Universität München, November 2017.
  • S. Sauermann: Implementation and Optimization of the Midpoint Method in ls1-mardyn [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, September 2017.
  • T. Schilling: Neighbor Lists in Molecular Dynamics Simulations: Implementation and Parallelization [BibTeX].
    Bachelor's thesis, August 2017.
  • M. Müller: Neighborhood Lists in Molecular Dynamics Simulations: SIMD-Vectorization [BibTeX].
    Bachelor's thesis, August 2017.
  • F. Gratl: Implementation and Evaluation of Task-based Approaches for Molecular Dynamics Simulations [BibTeX].
    Studienarbeit/SEP/IDP, Institut für Informatik, April 2017.

Volume 2016

  • J. Spahl: Evaluation of Zonal Methods for Small Molecular Systems [pdf] [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, November 2016.
  • M. Obersteiner: Parallel Implementation of the Fast Multipole Method [pdf] [BibTeX].
    Master's thesis, October 2016.
  • W. Hölzl: Development of a Particle-Based Streaming-Solver with Long-Range Interactions Based on the Fast-Multipole-Method [BibTeX].
    Bachelor's thesis, Fakultät für Physik, Technische Universität München, September 2016.
  • J.-M. Gallard: Optimization, Implementation and Evaluation of the FFT-accelerated Fast Multipole Method [BibTeX].
    Master's thesis, April 2016.

Volume 2015

  • L. Peuckert: Entwicklung einer Dual Tree Traversal-basierten Baumstruktur für die Fast Multipole Methode [BibTeX].
    Bachelor's thesis, December 2015.
  • J.-M. Gallard: Fast Multipole Method in MarDyn: FFT acceleration of the M2L phase [BibTeX].
    Studienarbeit/SEP/IDP, October 2015.
  • M. Faizov: Evaluation of the Performance of Vectorized Force Calculations for Molecular Dynamics [BibTeX].
    Master's thesis, September 2015.
  • B. Jaeger: Implementation and Optimization of Expansions for the Fast Multipole Method in the Cartesian Coordinate System [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, April 2015.
  • H. Flohr: Coupling the Molecular Dynamics Simulation ls1 Mardyn with the Lattice Boltzmann Simulation Walberla Using the Macro-Micro-Coupling Tool [BibTeX].
    Master's thesis, Institut für Informatik, Technische Universität München, March 2015.

Volume 2014

  • A. Stephan: Entwicklung eines skalierbaren Checkpoint-Restart Schemas mit parallelem File-I/O [pdf] [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, September 2014.
  • M. Obersteiner: Parallel Cluster Detection in Nucleation Scenarios [pdf] [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, September 2014.


Teaching

Winter 16/17

Numerisches Programmieren - Winter 16
PSE Molekulardynamik WS16

Summer 16

Numerisches Programmieren - Summer 16

Winter 15/16

Numerisches Programmieren - Winter 15
PSE Molekulardynamik WS15
Seminar Lattice Boltzmann Methods - Theory, Implementation and Applications

Summer 15

Numerisches Programmieren - Summer 15
Seminar Lattice Boltzmann Methods - Theory, Implementation and Applications

Winter 14/15

Numerisches Programmieren - Winter 14

Summer 14

Numerisches Programmieren - Summer 14
Master-Praktikum: Scientific Computing - Computational Fluid Dynamics - Summer 14

Publications

Volume 2018

Volume 2016

Volume 2015

  • N. Tchipev, A. Wafai, C. W. Glass, W. Eckhardt, A. Heinecke, H.-J. Bungartz and P. Neumann: Optimized Force Calculation of Molecular Dynamics Simulations for the Intel Xeon Phi [BibTeX].
    In Euro-Par 2015: Parallel Processing Workshops, Volume 9523 of Lecture Notes in Computer Science, p. 774–785. Springer, Vienna, June 2015.


Talks

Volume 2018

Volume 2017

Volume 2016

Volume 2015

Volume 2014


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