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Dive into the research topics where Jacek Narski is active.

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Featured researches published by Jacek Narski.


Journal of Computational Physics | 2012

An asymptotic-preserving method for highly anisotropic elliptic equations based on a Micro-Macro decomposition

Pierre Degond; Alexei Lozinski; Jacek Narski; Claudia Negulescu

The concern of the present work is the introduction of a very efficient asymptotic preserving scheme for the resolution of highly anisotropic diffusion equations. The characteristic features of this scheme are the uniform convergence with respect to the anisotropy parameter 0<e?1, the applicability (on cartesian grids) to cases of non-uniform and non-aligned anisotropy fields b and the simple extension to the case of a non-constant anisotropy intensity 1/e. The mathematical approach and the numerical scheme are different from those presented in the previous work P. Degond, F. Deluzet, A. Lozinski, J. Narski, C. Negulescu, Duality-based asymptotic-preserving method for highly anisotropic diffusion equations, Communications in Mathematical Sciences 10 (1) (2012) 1-31] and its considerable advantages are pointed out.


Communications in Mathematical Sciences | 2012

Duality-based asymptotic-preserving method for highly anisotropic diffusion equations

Pierre Degond; Fabrice Deluzet; Alexei Lozinski; Jacek Narski; Claudia Negulescu

The present paper introduces an efficient and accurate numerical scheme for the solution of a highly anisotropic elliptic equation, the anisotropy direction being given by a variable vector field. This scheme is based on an asymptotic preserving reformulation of the original system, permitting an accurate resolution independently of the anisotropy strength and without the need of a mesh adapted to this anisotropy. The counterpart of this original procedure is the larger system size, enlarged by adding auxiliary variables and Lagrange multipliers. This Asymptotic-Preserving method generalizes the method investigated in a previous paper [arXiv:0903.4984v2] to the case of an arbitrary anisotropy direction field.


Multiscale Modeling and Simulation archive | 2015

Nonconforming Multiscale Finite Element Method for Stokes Flows in Heterogeneous Media. Part I

Bagus Putra Muljadi; Jacek Narski; Alexei Lozinski; Pierre Degond

The multiscale finite element method (MsFEM) is developed in the vein of the Crouzeix--Raviart element for solving viscous incompressible flows in genuine heterogeneous media. Such flows are relevant in many branches of engineering, often at multiple scales and at regions where analytical representations of the microscopic features of the flows are often unavailable. Full accounts of these problems heavily depend on the geometry of the system under consideration and are computationally expensive. Therefore, a method capable of solving multiscale features of the flow without confining itself to fine scale calculations is sought. The approximation of boundary condition on coarse element edges when computing the multiscale basis functions critically influences the eventual accuracy of any MsFEM approaches. The weakly enforced continuity of Crouzeix--Raviart function space across element edges leads to a natural boundary condition for the multiscale basis functions which relaxes the sensitivity of our method to complex patterns of obstacles exempt from the need to implement any oversampling techniques. Additionally, the application of a penalization method makes it possible to avoid a complex unstructured domain and allows extensive use of simpler Cartesian meshes.


Multiscale Modeling & Simulation | 2015

Nonconforming Multiscale Finite Element Method for Stokes Flows in Heterogeneous Media. Part I: Methodologies and Numerical Experiments

Bagus Putra Muljadi; Jacek Narski; Alexei Lozinski; Pierre Degond

The multiscale finite element method (MsFEM) is developed in the vein of the Crouzeix--Raviart element for solving viscous incompressible flows in genuine heterogeneous media. Such flows are relevant in many branches of engineering, often at multiple scales and at regions where analytical representations of the microscopic features of the flows are often unavailable. Full accounts of these problems heavily depend on the geometry of the system under consideration and are computationally expensive. Therefore, a method capable of solving multiscale features of the flow without confining itself to fine scale calculations is sought. The approximation of boundary condition on coarse element edges when computing the multiscale basis functions critically influences the eventual accuracy of any MsFEM approaches. The weakly enforced continuity of Crouzeix--Raviart function space across element edges leads to a natural boundary condition for the multiscale basis functions which relaxes the sensitivity of our method to complex patterns of obstacles exempt from the need to implement any oversampling techniques. Additionally, the application of a penalization method makes it possible to avoid a complex unstructured domain and allows extensive use of simpler Cartesian meshes.


Journal of Computational Physics | 2018

An efficient numerical method for solving the Boltzmann equation in multidimensions

Giacomo Dimarco; Raphaël Loubère; Jacek Narski; Thomas Rey

In this paper we deal with the extension of the Fast Kinetic Scheme (FKS) [J. Comput. Phys., Vol. 255, 2013, pp 680-698] originally constructed for solving the BGK equation, to the more challenging case of the Boltzmann equation. The scheme combines a robust and fast method for treating the transport part based on an innovative Lagrangian technique supplemented with fast spectral schemes to treat the collisional operator by means of an operator splitting approach. This approach along with several implementation features related to the parallelization of the algorithm permits to construct an efficient simulation tool which is numerically tested against exact and reference solutions on classical problems arising in rarefied gas dynamic. We present results up to the


Journal of Computational Physics | 2015

Towards an ultra efficient kinetic scheme. Part III: High-performance-computing ☆

Giacomo Dimarco; Raphaël Loubère; Jacek Narski

3


NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics | 2011

Hybrid Monte Carlo Schemes for Plasma Simulations

Giacomo Dimarco; Jacek Narski

D


Computer Physics Communications | 2014

Asymptotic Preserving scheme for strongly anisotropic parabolic equations for arbitrary anisotropy direction

Jacek Narski; Maurizio Ottaviani

\times 3


Communications in Computational Physics | 2015

Crouzeix-Raviart MsFEM with Bubble Functions for Diffusion and Advection-Diffusion in Perforated Media

Pierre Degond; Alexei Lozinski; Bagus Putra Muljadi; Jacek Narski

D case for unsteady flows for the Variable Hard Sphere model which may serve as benchmark for future comparisons between different numerical methods for solving the multidimensional Boltzmann equation. For this reason, we also provide for each problem studied details on the computational cost and memory consumption as well as comparisons with the BGK model or the limit model of compressible Euler equations.


arXiv: Numerical Analysis | 2012

Highly anisotropic temperature balance equation and its asymptotic-preserving resolution

Alexei Lozinski; Jacek Narski; Claudia Negulescu

Abstract In this paper we demonstrate the capability of the fast semi-Lagrangian scheme developed in [20] and [21] to deal with parallel architectures. First, we will present the behaviors of such scheme on a classical architecture using OpenMP and then on GPU (Graphics Processing Unit) architecture using CUDA. The goal is to prove that this new scheme is well adapted to these types of parallelizations, and, moreover that the gain in CPU time is substantial on nowadays affordable computers. We first present the sequential version of our high-order kinetic scheme and focus on important details for an effective parallel implementation. Then, we introduce the specific treatments and algorithms which have been developed for an OpenMP and CUDA parallelizations. Numerical tests are shown for the full 3D/3D simulations. These assess the important speed-up factor of the method gained between the sequential code and the parallel versions and its very good scalability which makes this approach a real competitor with respect to existing schemes for the solution of multidimensional kinetic models.

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Alexei Lozinski

Institut de Mathématiques de Toulouse

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Fabrice Deluzet

Institut de Mathématiques de Toulouse

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Raphaël Loubère

Institut de Mathématiques de Toulouse

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Jiale Hua

Institut de Mathématiques de Toulouse

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Jérôme Fehrenbach

Institut de Mathématiques de Toulouse

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