Dr. Markus Wetzstein

Angestellt, Developer Technology Engineer (DevTech), NVIDIA

Zurich, Schweiz

Fähigkeiten und Kenntnisse

C/C++
high performance computing
data analysis
analytical skills
independent
open-minded
sociable
social and intercultural competence
GPU computing
data mining
publishing
presentation
strong teamwork capabilites
Fortran
CUDA
OpenMP
MPI
OpenACC
shell scripts
Unix
particle and mesh based numerical methods
parallel tools and debuggers
version control systems

Werdegang

Berufserfahrung von Markus Wetzstein

  • Bis heute 8 Jahre, seit Juli 2016

    Developer Technology Engineer (DevTech)

    NVIDIA

  • 2 Jahre und 4 Monate, Dez. 2013 - März 2016

    Software Development Specialist

    Swiss National Supercomputing Center, CSCS

  • 3 Jahre und 5 Monate, Juli 2010 - Nov. 2013

    Postdoc in High Performance Computing / Computational Astrophysics

    University of Zurich

    - work in the Swiss High Performance + High Productivity Computing (HP2C) project – performance analysis and optimization of an adaptive mesh refinement simulation code (RAMSES) - responsible for planning, implementation, validation and performance analysis of a hybrid OpenMP+MPI parallelization - responsible for cooperation with project partner CSCS (Swiss National Supercomputing Centre)

  • 3 Jahre, Juli 2007 - Juni 2010

    Postdoc in Computational Astrophysics

    Princeton University

    – Hybride Parallelisierung und Integration von zwei kosmologischen Simulationscodes (TVD und TPM), – Arbeit an gitter- und teilchenbasierten numerischen Methoden zur Simulation von Hydrodynamik und Gravitation

  • 4 Jahre, Juli 2003 - Juni 2007

    Postdoctoral Researcher, Computational Astrophysics

    Ludwig-Maximilians-University, Munich

    – development of numerical models of galaxy mergers and the formation of tidal dwarf galaxies – responsible for planning and procurement of high performance computing and IT infrastructure

  • 2 Jahre und 5 Monate, Feb. 2001 - Juni 2003

    Graduate Student, Computational Astrophysics

    Max-Planck-Institute for Astronomy, Heidelberg

    – development of VINE, a new simulation code (tree based N-body code with Smoothed Particle Hydrodynamics (SPH), hardware acceleration), – work on particle based numerical methods for simulating hydrodynamics (SPH) and gravity (tree codes, N-body problem), - responsible for collaboration with project partners int he GRACE project (implementation of Smoothed ParticleHydrodynamics and the Ahmad-Cohen neighbor scheme on reconfigurable hardware (FPGAs) and integration into existing simulation codes)

Ausbildung von Markus Wetzstein

  • Physics

    Heidelberg University

  • Astronomy

    Heidelberg University

    Computational Astrophysics

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Muttersprache

  • Französisch

    Grundlagen

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