Jonas Šukys
Jonas Šukys
ETHZentrum, CLT C 11
Research
 Uncertainty Quantification
 Multilevel Monte Carlo methods
 Hyperbolic nonlinear stochastic partial differential equations
 Multiphase 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 MultiLevel Monte Carlo (MLMC) software targeted at launching and managing
Uncertainty Quantification campaigns of deterministic HPC simulation software on supercomputers and postprocessing the results. 
CUBISMMPCF
High throughput software for direct numerical simulations of compressible twophase flows. 
ALSVIDUQ
Massively parallel MultiLevel Monte Carlo Finite Volume solver (MLMCFVM)
for uncertainty quantification in hyperbolic systems of conservation laws.
Downloads and description available in project site.
Dissertation
J. Šukys
Multilevel Monte Carlo Finite Volume methods for nonlinear systems
of conservation laws in multidimensions 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 multiphase cloud cavitation collapse flows using optimal control variate multilevel 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 twophase flows on BlueGene/Q.
In Proceedings of the ParCo 2015 Conference: Advances in Parallel Computing, IOS Press, Edinburgh, United Kingdom, September 34, 2015.  S. Mishra, Ch. Schwab and J. Šukys
MultiLevel Monte Carlo Finite Volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium.
Journal of Computational Physics, 312:192217, 2016.
DOI: 10.1016/j.jcp.2016.02.014  A. Barth, Ch. Schwab and J. Šukys
Multilevel Monte Carlo approximations of statistical solutions to the NavierStokes equation.
MCQMC 2014, Springer Proceedings in Mathematics & Statistics 163, 2016.
DOI: 10.1007/9783319335070  C. SanchezLinares, M.J. Castro, S. Mishra and J. Šukys
Multilevel Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslidegenerated tsunamis.
Applied Mathematical Modelling 39, 72117226, 2015.
DOI: 10.1016/j.apm.2015.03.011  L. Grosheintz, S. Mishra, and J. Šukys
Scalable implementation of massively parallel multilevel Monte Carlo Finite Volume solvers on hybrid CPU/GPU architectures using dynamic load balancing.
Submitted, 2014.  J. Šukys
Adaptive load balancing for massively parallel multilevel Monte Carlo solvers.
PPAM 2013, Part I, LNCS 8384, pp. 47–56. Springer Berlin Heidelberg, 2014.
DOI: 10.1007/9783642552243_5  J. Šukys, Ch. Schwab and S. Mishra
MultiLevel 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: 10.1007/9783642410956_34  S. Mishra, Ch. Schwab and J. Šukys
Multilevel 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: 10.1007/9783319008851_6  S. Mishra, Ch. Schwab and J. Šukys
Multilevel Monte Carlo Finite Volume methods for shallow water equations with uncertain topography in multidimensions.
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 multilevel Monte Carlo finite volume solvers.
PPAM 2011, Part I, LNCS 7203, pp. 245–254. Springer, Heidelberg, 2012.
DOI: 10.1007/9783642314643_25  S. Mishra, Ch. Schwab and J. Šukys
Multilevel Monte Carlo finite volume methods for nonlinear systems of conservation laws in multidimensions.
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 412, 2013, Malaga, Spain.
Invited Talks
 Uncertainty quantification in cloud cavitation collapse using multilevel Monte Carlo.
SIAM Conference on Uncertainty Quantification.
April 58, 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.  MultiLevel Monte Carlo Finite Volume Solver for Shallow Water Equations with Uncertain Bottom Topography.
SIAM Conference on Nonlinear waves and Coherent Structures.
August 1114, 2014, Churchill College, Cambridge University, Cambridge, United Kingdom.  Multilevel Monte Carlo Finite Volume methods for stochastic systems of hyperbolic conservation laws.
MascotNum Workshop on Computer Experiments and Metamodels for Uncertainty Quantification.
April 2325, 2014, ETH Zurich, Switzerland.  Robust massively parallel MLMCFVM solver for uncertainty quantification in nonlinear conservation laws.
EDANYA Research Group, Department of Matematical Analysis, University of Malaga.
November 412, 2013, Malaga, Spain.  MLMCFVM for systems of stochastic conservation laws in multidimensions.
SIAM Conference on Computational Science and Engineering.
February 25 – March 1, 2013, Boston, Massachusetts, United States.  MLMC for systems of stochastic conservation laws in multidimensions.
University of Otago, February 8, 2012, Dunedin, New Zealand.
Contributed Talks
 Uncertainty Quantification in Cloud Cavitation Collapse using MultiLevel 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 MultiLevel 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 lognormal coefficients.
MCQMC 2014 Conference, April 611, 2014, Leuven, Belgium.  Robust massively parallel MLMCFVM 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 multilevel Monte Carlo solvers.
Parallel Processing and Applied Mathematics 10th International Conference, September 811, 2013, Warsaw, Poland.  Robust massively parallel MLMCFVM solver for uncertainty quantification in nonlinear conservation laws.
Pro*Doc Workshop, August 1416, 2013, Disentis/Muster, Switzerland.  Robust massively parallel MLMCFVM 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.  MLMCFVM for systems of stochastic conservation laws in multidimensions.
HYP2012, June 26, 2012, Padua, Italy.  MLMCFVM for shallow water equations with uncertain bottom topography.
Swiss Numerics Colloquium, April 13, 2012, Bern, Switzerland.  MLMC for systems of stochastic conservation laws in multidimensions.
MCQMC 2012 Conference, February 1317, 2012, Sydney, Australia.  Static load balancing for multilevel Monte Carlo finite volume solvers.
Parallel Processing and Applied Mathematics 9th International Conference, September 1114, 2011, Torun, Poland.  MLMC for systems of stochastic conservation laws in multidimensions.
Pro*Doc Workshop, August 1819, 2011, Disentis/Muster, Switzerland.  MLMC for systems of stochastic conservation laws in multidimensions.
Workshop on HighDimensional Aspects of Stochastic PDEs, August 812, 2011, HIM, Bonn, Germany.  MLMC for systems of stochastic conservation laws in multidimensions.
Swiss Numerics Day, May 6, 2011, USI Lugano, Switzerland.  MLMC for systems of stochastic conservation laws in multidimensions.
Hyperbolic Group Seminar, Seminar for Applied Mathematics, March 22, 2011, ETH Zurich, Switzerland.  FEMABC 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 810, 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 1819, 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 DBAUG
 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.