Resume alexandros markopoulos

Alexandros Markopoulos
computational scientist / mechanical engineer
Ostrava, Czech Republic
Researcher at national supercomputing center IT4Innovations. He is interested in the fields such as  finite element method, linear solvers, and linear algebra generally. He works on domain decomposition method for massive parallelization known as Hybrid TFETI.
Work Experience
Visiting Research Scientis
02/2013 - 08/2013
collaboration with prof. F.-X. Roux at LJLL - UPMC - Paris
Working on Krylov subspace methods based on multiple search direction technique. Parallel implementation of  block conjugate gradient methods, and GMRES.
Visiting Research Scientis
collaboration with prof. F.-X. Roux at LJLL - UPMC - Paris
Month internships  supported by BULL and hosting at university at UPMC LJLL, collaboration with prof. F.-X. Roux.
2006 - present
VŠB-TU Ostrava
Mechanical engineering, FEM and Linear Algebra programming courses in Matlab or Python
Ph.D. Applied Mechanics
Faculty of Mechanical Engineering - VŠB TU of Ostrava

Thesis: Scalable Domain Decomposition Methods for Solution of Statics Problems

MSc. (Ing.) Applied Mechanics
Faculty of Mechanical Engineering - VŠB TU of Ostrava

Thesis: The assessment of possibility of initiation of parametric vibration at winding cages

Research Interests

High Performance Computing,  Domain Decomposition Method, Krylov subspace methods, Applied Linear Algebra

Intel Parallel Computing Center at IT4Innovations
Main activities of the Intel® PCC at IT4I are divided into two pillars: The Development pillar of highly parallel algorithms and libraries focuses on the development of the state-of-the-art sparse linear iterative solvers combined with appropriate preconditioners and domain decomposition methods, suitable for solutions of very large problems distributed over tens of thousands of Intel® Xeon Phi™ coprocessors accelerated nodes. Developing solvers will become part of the IT4I in-house ESPRESO (ExaScale PaRallel FETI SOlver) library. The support of HPC community codes includes creating interface between ESPRESO and existing community codes Elmer and OpenFOAM Extend Project.
Other Projects
  • Project Spomech – Creating a multidisciplinary R&D team for reliable solution of mechanical problems, reg. no. CZ.1.07/2.3.00/20.0070 within Operational Programme ‘Education for competitiveness’ funded by Structural Funds of the European Union and state budget of the Czech Republic.
  • Development and implementation of scalable the algorithms for the solution of quadratic programming contact problems.
  • Computationally intensive simulations and optimization provided by Ministry of Education, MSM6198910027,
  • International project PRACE (see
  • Scalable algorithms based on the domain decomposition methods for the solution of transient contact and impact problems with friction, (Czech Science Foundation, Post-doc project 2013).
  • Opportunity For Young Researchers | CZ.1.07/2.3.00/30.0016
Software Development
ExaScale PaRallel FETI SOlver
ESPRESO is an ExaScale PaRallel FETI SOlver developed at IT4Innovations. Main focus of the development team is to create a highly efficient parallel solver which contains several FETI based algorithms including new Hybrid Total FETI method suitable for parallel machines with tens or hundreds of thousands of CPU cores. The solver is based on highly efficient communication layer on top of pure MPI. The layer was developed specifically for FETI solvers and uses several state-of-the-art communication hiding and avoiding techniques to achieve better scalability.
2013 - 2015
PermonCube is a simple parallel mesh generator over cubical domain allowing the generate 3 dimensional elastoplasticity problem over billions of unknowns. For nonlinear plasticity problem It contains nonlinear solver based on Newton method, and for solving of linear system it cooperates with several solvers (initial ver. of ESPRESO, Permon, DDSolv). Improved version of PermonCube part covering mesh generating is nowadays component of ESPRESO.
Package for parallel solution of large contact pboblems of mechanics based on MATLAB

The algorithms implemented in MatSol library are based on our long-term research focused on the development of scalable algorithms for multibody contact and contact shape optimization problems, 2D or 3D, with or without friction. Isotropic and anisotropic, Tresca and Coulomb friction models are supported.


Linear Algebra with Matlab
tutorials in B.Sc. programme of Computer Science, VŠB-TU Ostrava
Selected Chapters from Mathematics
Subject covers partial differential equations, basic methods of approximation of the solution of the boundary value problems, variational equalities and inequalities.
Scholarships & Summer/Winter Schools
DAAD scholarship
03 / 2009 - 04 / 2009
Leibniz University in Hannover, Germany

Prof. Peter Wriggers’ group, Theme: Contact problems, nonlinear mechanics.

Technical Skills