ETH-Zentrum, CLT C 11

Research

• Uncertainty Quantification
• Multi-level Monte Carlo methods
• Hyperbolic nonlinear stochastic partial differential equations
• Multi-phase flows and cavitation dynamics
• Massively parallel high performance computing
• Numerical analysis and simulations
• Finite volume methods

Awards

• Prize for the Best PhD Work and Presentation – MascotNum, Zürich, Switzerland, 2014

• BGCE Student Paper Prize, finalist and 2nd place winner – SIAM CSE, Boston, United States, 2013

Software developement

• PyMLMC
  Highly modular Python Multi-Level Monte Carlo (MLMC) software targeted at launching and managing
  Uncertainty Quantification campaigns of deterministic HPC simulation software on super-computers and post-processing the results.

• CUBISM-MPCF
  High throughput software for direct numerical simulations of compressible two-phase flows.

• ALSVID-UQ
  Massively parallel Multi-Level Monte Carlo Finite Volume solver (MLMC-FVM)
  for uncertainty quantification in hyperbolic systems of conservation laws.
  Downloads and description available in project site.

Dissertation

    J. Šukys

    Multi-level Monte Carlo Finite Volume methods for non-linear systems

    of conservation laws in multi-dimensions with random initial data.

    ETH Zurich, No. 21990. PDF

Publications

    Download reference list: bib.sukys.lt (BibTeX), tex.sukys.lt (LaTeX).

• J. Šukys, U. Rasthofer, F. Wermelinger, P. Hadjidoukas, D. Rossinelli, P. Koumoutsakos
  Numerical investigation of cavitation dynamics of O(10^4) bubble clouds:
  cloud geometries, identification of characteristic stages, and classification of cavities.
  Manuscript in progress, 2016.
• J. Šukys, U. Rasthofer, F. Wermelinger, P. Hadjidoukas, D. Rossinelli, P. Koumoutsakos
  Uncertainty quantification in multi-phase cloud cavitation collapse flows using optimal control variate multi-level Monte Carlo sampling and petascale direct numerical simulations.
  Manuscript in progress, 2016.
• P. Hadjidoukas, D. Rossinelli, F. Wermelinger, J. Šukys, U. Rasthofer, C. Conti, B. Hejazialhosseini, P. Koumoutsakos
  High throughput simulations of two-phase flows on BlueGene/Q.
  In Proceedings of the ParCo 2015 Conference: Advances in Parallel Computing, IOS Press, Edinburgh, United Kingdom, September 3-4, 2015.
• S. Mishra, Ch. Schwab and J. Šukys
  Multi-Level Monte Carlo Finite Volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium.
  Journal of Computational Physics, 312:192-217, 2016.
  DOI: 10.1016/j.jcp.2016.02.014
• A. Barth, Ch. Schwab and J. Šukys
  Multi-level Monte Carlo approximations of statistical solutions to the Navier-Stokes equation.
  MCQMC 2014, Springer Proceedings in Mathematics & Statistics 163, 2016.
  DOI: 10.1007/978-3-319-33507-0
• C. Sanchez-Linares, M.J. Castro, S. Mishra and J. Šukys
  Multi-level Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslide-generated tsunamis.
  Applied Mathematical Modelling 39, 7211-7226, 2015.
  DOI: 10.1016/j.apm.2015.03.011
• L. Grosheintz, S. Mishra, and J. Šukys
  Scalable implementation of massively parallel multi-level Monte Carlo Finite Volume solvers on hybrid CPU/GPU architectures using dynamic load balancing.
  Submitted, 2014.
• J. Šukys
  Adaptive load balancing for massively parallel multi-level Monte Carlo solvers.
  PPAM 2013, Part I, LNCS 8384, pp. 47–56. Springer Berlin Heidelberg, 2014.
  DOI: 10.1007/978-3-642-55224-3_5
• J. Šukys, Ch. Schwab and S. Mishra
  Multi-Level Monte Carlo Finite Difference and Finite Volume methods for stochastic linear hyperbolic systems.
  MCQMC 2012, Springer Proceedings in Mathematics & Statistics, Volume 65, pp. 649–666, 2013.
  DOI: 10.1007/978-3-642-41095-6_34
• S. Mishra, Ch. Schwab and J. Šukys
  Multi-level Monte Carlo finite volume methods for uncertainty quantification in nonlinear systems of balance laws.
  Lecture Notes in Computational Science and Engineering Volume 92, pp. 225–294, 2013.
  DOI: 10.1007/978-3-319-00885-1_6
• S. Mishra, Ch. Schwab and J. Šukys
  Multi-level Monte Carlo Finite Volume methods for shallow water equations with uncertain topography in multi-dimensions.
  SIAM Journal of Scientific Computing, 34(6), pp. B761–B784, 2012.
  DOI: 10.1137/110857295
• J. Šukys, S. Mishra, and Ch. Schwab
  Static load balancing for multi-level Monte Carlo finite volume solvers.
  PPAM 2011, Part I, LNCS 7203, pp. 245–254. Springer, Heidelberg, 2012.
  DOI: 10.1007/978-3-642-31464-3_25
• S. Mishra, Ch. Schwab and J. Šukys
  Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions.
  Journal of Computational Physics, 231(8):3365–3388, 2012.
  DOI: 10.1016/j.jcp.2012.01.011

Scientific Visits

• EDANYA Research Group, Department of Matematical Analysis, University of Malaga.
  November 4-12, 2013, Malaga, Spain.

Invited Talks

• Uncertainty quantification in cloud cavitation collapse using multi-level Monte Carlo.
  SIAM Conference on Uncertainty Quantification.
  April 5-8, 2016, SwissTech Convention Center, EPFL Campus, Lausanne, Switzerland.
• Cloud Cavitation Collapse.
  Computational Sciene and Engineering (CompSE).
  December 18, 2015, Chair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Germany.
• Multi-Level Monte Carlo Finite Volume Solver for Shallow Water Equations with Uncertain Bottom Topography.
  SIAM Conference on Nonlinear waves and Coherent Structures.
  August 11-14, 2014, Churchill College, Cambridge University, Cambridge, United Kingdom.
• Multi-level Monte Carlo Finite Volume methods for stochastic systems of hyperbolic conservation laws.
  MascotNum Workshop on Computer Experiments and Meta-models for Uncertainty Quantification.
  April 23-25, 2014, ETH Zurich, Switzerland.
• Robust massively parallel MLMC-FVM solver for uncertainty quantification in nonlinear conservation laws.
  EDANYA Research Group, Department of Matematical Analysis, University of Malaga.
  November 4-12, 2013, Malaga, Spain.
• MLMC-FVM for systems of stochastic conservation laws in multi-dimensions.
  SIAM Conference on Computational Science and Engineering.
  February 25 – March 1, 2013, Boston, Massachusetts, United States.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  University of Otago, February 8, 2012, Dunedin, New Zealand.

Contributed Talks

• Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo.
  Internation Conference on Monte Carlo and Quasi Monte Carlo Methods 2016, August 16, 2016, San Francisco, United States.
• Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo.
  SIAM Conference on Uncertainty Quantification 2016, Lausanne, April 7, 2016, Lausanne, Switzerland.
• Cloud Cavitation Collapse.
  Platform for Advanced Scientific Computing (PASC) Conference, June 3, 2015, Zurich, Switzerland.
• Cloud Cavitation Collapse.
  2nd Frontiers in Computational Physics Conference: Energy Sciences, June 3, 2015, Zurich, Switzerland.
• Adaptively balanced parallel MLMC solver for acoustic wave propagation with log-normal coefficients.
  MCQMC 2014 Conference, April 6-11, 2014, Leuven, Belgium.
• Robust massively parallel MLMC-FVM solver for uncertainty quantification in nonlinear conservation laws.
  Computational Science and Engineering Laboratory, December 6, 2013, ETH Zurich, Switzerland.
• Adaptive load balancing for massively parallel multi-level Monte Carlo solvers.
  Parallel Processing and Applied Mathematics 10th International Conference, September 8-11, 2013, Warsaw, Poland.
• Robust massively parallel MLMC-FVM solver for uncertainty quantification in nonlinear conservation laws.
  Pro*Doc Workshop, August 14-16, 2013, Disentis/Muster, Switzerland.
• Robust massively parallel MLMC-FVM solver for uncertainty quantification in nonlinear conservation laws.
  Swiss Numerics Colloquium, April 5, 2013, Lausanne, Switzerland.
• Daugialygiai Monte Carlo metodai stochastinėms dalinėms diferencialinėms lygtims.
  LJMS, January 2, 2013, VU MIF, Vilnius, Lithuania.
• MLMC-FVM for systems of stochastic conservation laws in multi-dimensions.
  HYP2012, June 26, 2012, Padua, Italy.
• MLMC-FVM for shallow water equations with uncertain bottom topography.
  Swiss Numerics Colloquium, April 13, 2012, Bern, Switzerland.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  MCQMC 2012 Conference, February 13-17, 2012, Sydney, Australia.
• Static load balancing for multi-level Monte Carlo finite volume solvers.
  Parallel Processing and Applied Mathematics 9th International Conference, September 11-14, 2011, Torun, Poland.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  Pro*Doc Workshop, August 18-19, 2011, Disentis/Muster, Switzerland.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  Workshop on High-Dimensional Aspects of Stochastic PDEs, August 8-12, 2011, HIM, Bonn, Germany.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  Swiss Numerics Day, May 6, 2011, USI Lugano, Switzerland.
• MLMC for systems of stochastic conservation laws in multi-dimensions.
  Hyperbolic Group Seminar, Seminar for Applied Mathematics, March 22, 2011, ETH Zurich, Switzerland.
• FEM-ABC coupling for discretization of Helmholtz equation in unbounded domains using FEniCS.
  Colloquium in Applied Mathematics, May 26, 2010, ETH Zurich, Switzerland.

Exposure

• Contribution to featured projects on the Gauss Centre for Supercomputing

Posters

• MLMC for systems of hyperbolic conservation laws with random input data.
  Analysis and numerical approximation of PDEs, September 8-10, 2014, ETH Zurich, Switzerland.
• MLMC for systems of hyperbolic conservation laws with random input data.
  Swiss Numerics Day, April 25, 2014, University of Zurich, Switzerland.
• MLMC for systems of hyperbolic conservation laws with random initial data.
  SAMHYP, February 18-19, 2011, ETH Zurich, Switzerland.

Teaching

• Spring Term 2016: Computational Methods for Engineering and Applications I
• Spring Term 2015: Computational Science and Engineering Seminar
• Spring Term 2015: Computational Methods for Engineering and Applications I
• Fall Term 2015: High Performance Computing I
• Spring Term 2014: Numerical Methods for Partial Differential Equations
• Fall Term 2013: Numerische Methoden für CSE
• Fall Term 2012: Lineare Algebra und Numerische Mathematik D-BAUG
• Fall Term 2012: Numerische Methoden für CSE
• Fall Term 2011: Numerische Methoden für CSE
• Spring Term 2011: Numerische Methoden für PHYS
• Fall Term 2010: Numerische Methoden für CSE

Previous Affliations

• Seminar for Applied Mathematics, ETH Zurich, Switzerland
• Fraunhofer MEVIS, Bremen, Germany
• Algorithmica Technologies GmbH, Bremen, Germany
• Jacobs University Bremen, Bremen, Germany
• Finasta Investment Management, Vilnius, Lithuania
• Nacionalinė Moksleivių Akademija, Lithuania. KTUG, Kaunas, Lithuania.