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2020 – today
- 2024
[j80]Marcin Los
, Maciej Paszynski:
Parallel shared-memory open-source code for simulations of transient problems using isogeometric analysis, implicit direction splitting and residual minimization (IGA-ADS-RM). Adv. Eng. Softw. 196: 103723 (2024)- [j79]Marcin Skotniczny, Anna Paszynska, Sergio Rojas, Maciej Paszynski:
Complexity of direct and iterative solvers on space-time formulations and time-marching schemes for h-refined grids towards singularities. J. Comput. Sci. 76: 102216 (2024) - [j78]Marcin Los, Leszek Siwik, Maciej Wozniak, Dominik Grybos, Pawel Maczuga, Albert Oliver Serra, Jacek Leszczynski, Maciej Paszynski:
Shock waves generators: From prevention of hail storms to reduction of the smog in urban areas - experimental verification and numerical simulations. J. Comput. Sci. 77: 102238 (2024) - [j77]Maciej Sikora, Patryk Krukowski, Anna Paszynska, Maciej Paszynski:
Comparison of Physics Informed Neural Networks and Finite Element Method Solvers for advection-dominated diffusion problems. J. Comput. Sci. 81: 102340 (2024) - [j76]Sergey V. Kovalchuk, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Jirí Mikyska, Maciej Paszynski, Jack J. Dongarra, Peter M. A. Sloot:
Computation at the Cutting Edge of Science. J. Comput. Sci. 81: 102379 (2024) - [c68]Lijing Luo, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Clélia de Mulatier, Jack J. Dongarra, Peter M. A. Sloot:
Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. ICCS (2) 2024: 19-33 - [c67]Alicja Niewiadomska, Pawel Maczuga, Albert Oliver Serra, Leszek Siwik, Paulina Sepúlveda-Salas, Anna Paszynska, Maciej Paszynski, Keshav Pingali:
Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks. ICCS (2) 2024: 204-218 - [c66]Mateusz Dobija, Anna Paszynska, Carlos Uriarte, Maciej Paszynski:
Accelerating Training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices. ICCS (3) 2024: 352-362 - [c65]Mateusz Ksyta, Wojciech Kordylewski, Marcin Los, Piotr Gurgul, Maciej Sikora, Maciej Paszynski:
Fast Simulations in Augmented Reality. ICCS (3) 2024: 453-460 - [e22]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14832, Springer 2024, ISBN 978-3-031-63748-3 [contents] - [e21]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14833, Springer 2024, ISBN 978-3-031-63753-7 [contents] - [e20]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14834, Springer 2024, ISBN 978-3-031-63758-2 [contents] - [e19]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14835, Springer 2024, ISBN 978-3-031-63771-1 [contents] - [e18]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14836, Springer 2024, ISBN 978-3-031-63774-2 [contents] - [e17]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14837, Springer 2024, ISBN 978-3-031-63777-3 [contents] - [e16]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14838, Springer 2024, ISBN 978-3-031-63785-8 [contents] - [i22]Marcin Los, Maciej Paszynski:
Robust Physics Informed Neural Networks. CoRR abs/2401.02300 (2024) - [i21]Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski:
Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators. CoRR abs/2402.02273 (2024) - [i20]Pawel Maczuga, Marcin Los, Eirik Valseth, Albert Oliver Serra, Leszek Siwik, Elisabete Alberdi Celaya, Anna Paszynska, Maciej Paszynski:
Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast. CoRR abs/2405.02310 (2024) - [i19]Maciej Sikora, Albert Oliver Serra, Leszek Siwik, Natalia Leszczynska, Tomasz Maciej Ciesielski, Eirik Valseth, Jacek Leszczynski, Anna Paszynska, Maciej Paszynski:
Graph grammars and Physics Informed Neural Networks for simulating of pollution propagation on Spitzbergen. CoRR abs/2409.08799 (2024) - [i18]Maciej Paszynski:
Matrix-by-matrix multiplication algorithm with O(N2log2N) computational complexity for variable precision arithmetic. CoRR abs/2410.21050 (2024) - 2023
- [j75]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. Comput. Math. Appl. 142: 157-174 (2023) - [j74]Victor M. Calo, Pouria Behnoudfar, Marcin Los, Maciej Paszynski:
A Kronecker product linear-cost solver for the high-order generalized-α method for multi-dimensional hyperbolic systems. Comput. Math. Appl. 142: 257-267 (2023) - [j73]Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski:
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. 151: 36-49 (2023) - [j72]Marcin Los, Paulina Sepúlveda, Maciej Sikora, Maciej Paszynski:
Solver algorithm for stabilized space-time formulation of advection-dominated diffusion problem. Comput. Math. Appl. 152: 67-80 (2023) - [j71]Grzegorz Gurgul, Bartosz Balis, Maciej Paszynski:
Cloud-native alternating directions solver for isogeometric analysis. Future Gener. Comput. Syst. 140: 151-172 (2023) - [j70]Marcin Los, Maciej Paszynski:
Stability of non-linear flow in heterogeneous porous media simulations using higher order and continuity basis functions. J. Comput. Appl. Math. 428: 115141 (2023) - [j69]Sergey V. Kovalchuk, Clélia de Mulatier, Derek Groen, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
The computational planet. J. Comput. Sci. 72: 102102 (2023) - [c64]Pawel Maczuga, Maciej Paszynski:
Influence of Activation Functions on the Convergence of Physics-Informed Neural Networks for 1D Wave Equation. ICCS (1) 2023: 74-88 - [c63]Krzysztof Misan, Maciej Kozieja, Marcin Los, Dominik Grybos, Jacek Leszczynski, Pawel Maczuga, Maciej Wozniak, Albert Oliver Serra, Maciej Paszynski:
The First Scientiffic Evidence for the Hail Cannon. ICCS (1) 2023: 177-190 - [c62]Tomasz Sluzalec, Maciej Paszynski:
Fast Solver for Advection Dominated Diffusion Using Residual Minimization and Neural Networks. ICCS (2) 2023: 517-531 - [e15]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14073, Springer 2023, ISBN 978-3-031-35994-1 [contents] - [e14]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14074, Springer 2023, ISBN 978-3-031-36020-6 [contents] - [e13]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14075, Springer 2023, ISBN 978-3-031-36023-7 [contents] - [e12]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14076, Springer 2023, ISBN 978-3-031-36026-8 [contents] - [e11]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14077, Springer 2023, ISBN 978-3-031-36029-9 [contents] - [i17]Marcin Los, Paulina Sepúlveda-Salas, Maciej Paszynski:
Solver algorithm for stabilized space-time formulation of advection-dominated diffusion problem. CoRR abs/2306.16514 (2023) - [i16]Maciej Sikora, Patryk Krukowski, Anna Paszynska, Maciej Paszynski:
Physics Informed Neural Networks with strong and weak residuals for advection-dominated diffusion problems. CoRR abs/2307.07647 (2023) - [i15]Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski:
Robust Variational Physics-Informed Neural Networks. CoRR abs/2308.16910 (2023) - [i14]Pawel Maczuga, Maciej Skoczen, Przemyslaw Roznawski, Filip Tluszcz, Marcin Szubert, Marcin Los, Witold Dzwinel, Keshav Pingali, Maciej Paszynski:
Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab. CoRR abs/2310.03755 (2023) - 2022
- [j68]Maciej Paszynski, Leszek Siwik, Witold Dzwinel, Keshav Pingali:
Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression. Comput. Math. Appl. 113: 214-224 (2022) - [j67]Leszek Siwik, Marcin Los, Adrian Klusek, Anna Paszynska, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs. J. Comput. Appl. Math. 412: 114308 (2022) - [j66]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Dieter Kranzlmüller, Jack J. Dongarra, Peter M. A. Sloot:
Computational science for a better future. J. Comput. Sci. 62: 101745 (2022) - [j65]Pouria Behnoudfar, Victor Manuel Calo, Marcin Los, Pawel Maczuga, Maciej Paszynski:
A variational splitting of high-order linear multistep methods for heat transfer and advection-diffusion parabolic problems. J. Comput. Sci. 63: 101807 (2022) - [j64]Pawel Maczuga, Albert Oliver Serra, Anna Paszynska, Eirik Valseth, Maciej Paszynski:
Graph-grammar based algorithm for asteroid tsunami simulations. J. Comput. Sci. 64: 101856 (2022) - [c61]Krzysztof Misan, Maciej Kozieja, Anna Paszynska, Maciej Paszynski:
Prototype of Cooperative Computational Framework for Incorporating Air Pollution Prognosis in Urban Design. CDVE 2022: 225-230 - [c60]Pawel Maczuga, Maciej Paszynski, Victor M. Calo:
Linear Computational Cost Implicit Variational Splitting Solver with Non-regular Material Data for Parabolic Problems. ICCS (1) 2022: 132-138 - [c59]Krzysztof Misan, Weronika Ormaniec, Adam Kania, Maciej Kozieja, Marcin Los, Dominik Grybos, Jacek Leszczynski, Maciej Paszynski:
Fast Isogeometric Analysis Simulations of a Process of Air Pollution Removal by Artificially Generated Shock Waves. ICCS (3) 2022: 298-311 - [c58]Kamil Doleglo, Maciej Paszynski, Leszek F. Demkowicz:
Deep Neural Networks and Smooth Approximation of PDEs. ICCS (1) 2022: 328-332 - [e10]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13350, Springer 2022, ISBN 978-3-031-08750-9 [contents] - [e9]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13351, Springer 2022, ISBN 978-3-031-08753-0 [contents] - [e8]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13352, Springer 2022, ISBN 978-3-031-08756-1 [contents] - [e7]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13353, Springer 2022, ISBN 978-3-031-08759-2 [contents] - [i13]Kamil Doleglo, Anna Paszynska, Maciej Paszynski, Leszek F. Demkowicz:
Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions. CoRR abs/2201.00904 (2022) - [i12]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. CoRR abs/2209.05844 (2022) - [i11]Tomasz Sluzalec, Mateusz Dobija, Anna Paszynska, Ignacio Muga, Maciej Paszynski:
Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. CoRR abs/2212.12695 (2022) - 2021
- [j63]Barbara Glut, Maciej Paszynski:
Overview of Adaptive and Low-Rank Approximation Algorithms for Modeling of The Influence of Electromagnetic Waves Generated by The Cell Phone Antenna on The Human Head. Comput. Sci. 22(4) (2021) - [j62]Marcin Los, Ignacio Muga, Judit Muñoz-Matute, Maciej Paszynski:
Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems. Comput. Math. Appl. 95: 200-214 (2021) - [j61]Krzysztof Podsiadlo, Albert Oliver Serra, Anna Paszynska, Rafael Montenegro, Ian Henriksen, Maciej Paszynski, Keshav Pingali:
Parallel graph-grammar-based algorithm for the longest-edge refinement of triangular meshes and the pollution simulations in Lesser Poland area. Eng. Comput. 37(4): 3857-3880 (2021) - [j60]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
DGIRM: Discontinuous Galerkin based isogeometric residual minimization for the Stokes problem. J. Comput. Sci. 50: 101306 (2021) - [j59]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Gábor Závodszky, Michael Lees, Jack J. Dongarra, Peter M. A. Sloot:
20 years of computational science: Selected papers from 2020 International Conference on Computational Science. J. Comput. Sci. 53: 101395 (2021) - [j58]Maciej Paszynski, Marcin Los:
Higher order and continuity L2 projections with piece-wise constant test functions. J. Comput. Sci. 55: 101442 (2021) - [c57]Maciej Paszynski, Rafal Wojciech Grzeszczuk, David Pardo, Leszek F. Demkowicz:
Deep Learning Driven Self-adaptive Hp Finite Element Method. ICCS (1) 2021: 114-121 - [c56]Albert Mosialek, Andrzej Szaflarski, Rafal Pych, Marek Kisiel-Dorohinicki, Maciej Paszynski, Anna Paszynska:
Graph-Grammar Based Longest-Edge Refinement Algorithm for Three-Dimensional Optimally p Refined Meshes with Tetrahedral Elements. ICCS (4) 2021: 200-213 - [e6]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12742, Springer 2021, ISBN 978-3-030-77960-3 [contents] - [e5]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12743, Springer 2021, ISBN 978-3-030-77963-4 [contents] - [e4]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12744, Springer 2021, ISBN 978-3-030-77966-5 [contents] - [e3]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12745, Springer 2021, ISBN 978-3-030-77969-6 [contents] - [e2]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12746, Springer 2021, ISBN 978-3-030-77976-4 [contents] - [e1]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12747, Springer 2021, ISBN 978-3-030-77979-5 [contents] - [i10]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Advection-Diffusion Problems. CoRR abs/2103.04625 (2021) - [i9]Maciej Paszynski, Marcin Los:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Maxwell Problems. CoRR abs/2103.06998 (2021) - [i8]Marcin Skotniczny, Anna Paszynska, Maciej Paszynski:
Cost of space-time formulations: a study on the performance of direct and iterative solvers on space-time formulations versus time-marching schemes. CoRR abs/2110.05804 (2021) - 2020
- [j57]Grzegorz Gurgul, Marcin Los, Maciej Paszynski, Victor M. Calo:
Linear computational cost implicit solver for parabolic problems. Comput. Sci. 21(1) (2020) - [j56]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems. Comput. Math. Appl. 79(2): 213-229 (2020) - [j55]Marcin Los, Pouria Behnoudfar, Maciej Paszynski, Victor M. Calo:
Fast isogeometric solvers for hyperbolic wave propagation problems. Comput. Math. Appl. 80(1): 109-120 (2020) - [j54]Anna Paszynska, Maciej Paszynski:
Computational Costs of Multi-Frontal Direct Solvers with Analysis-Suitable T-Splines. Symmetry 12(12): 2070 (2020) - [c55]Maciej Paszynski, Leszek Siwik, Krzysztof Podsiadlo, Peter D. Minev:
A Massively Parallel Algorithm for the Three-Dimensional Navier-Stokes-Boussinesq Simulations of the Atmospheric Phenomena. ICCS (1) 2020: 102-117 - [c54]Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali:
Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. ICCS (7) 2020: 133-148 - [c53]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
A Stable Discontinuous Galerkin Based Isogeometric Residual Minimization for the Stokes Problem. ICCS (2) 2020: 197-211 - [i7]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. CoRR abs/2001.00178 (2020)
2010 – 2019
- 2019
- [j53]Grzegorz Gurgul, Maciej Paszynski:
Object-oriented implementation of the alternating directions implicit solver for isogeometric analysis. Adv. Eng. Softw. 128: 187-220 (2019) - [j52]Maciej Paszynski, Konrad Jopek, Anna Paszynska, Muhammad Amber Hasaan, Keshav Pingali:
Hypergraph grammar based multi-thread multi-frontal direct solver with Galois scheduler. Comput. Sci. 20(1) (2019) - [j51]Adrian Klusek, Marcin Los, Maciej Paszynski, Witold Dzwinel:
Efficient model of tumor dynamics simulated in multi-GPU environment. Int. J. High Perform. Comput. Appl. 33(3) (2019) - [j50]Leszek Siwik, Maciej Wozniak, Marcin Los, Maciej Paszynski:
Fast and green parallel isogeometric analysis computations for multi-objective optimization of liquid fossil fuel reserve exploitation with minimal groundwater contamination. J. Parallel Distributed Comput. 134: 89-103 (2019) - [j49]Leszek Siwik, Maciej Wozniak, Victor Trujillo, David Pardo, Victor Manuel Calo, Maciej Paszynski:
Parallel Refined Isogeometric Analysis in 3D. IEEE Trans. Parallel Distributed Syst. 30(5): 1134-1142 (2019) - [i6]Marcin Los, Quanling Deng, Ignacio Muga, Victor M. Calo, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems. CoRR abs/1906.06727 (2019) - [i5]Maciej Paszynski:
Isogeometric analysis with piece-wise constant test functions. CoRR abs/1910.08535 (2019) - [i4]Marcin Los, Pouria Behnoudfar, Maciej Paszynski, Victor Manuel Calo:
Fast isogeometric solvers for hyperbolic wave propagation problems. CoRR abs/1911.08158 (2019) - [i3]Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. CoRR abs/1912.12836 (2019) - 2018
- [j48]Marcin Los, Robert Schaefer, Maciej Paszynski:
Parallel space-time hp adaptive discretization scheme for parabolic problems. J. Comput. Appl. Math. 344: 819-835 (2018) - [j47]Maciej Paszynski, Leszek Siwik, Maciej Wozniak:
Concurrency of three-dimensional refined isogeometric analysis. Parallel Comput. 80: 1-22 (2018) - [c52]Hassan AbouEisha, Victor M. Calo, Konrad Jopek, Mikhail Moshkov, Anna Paszynska, Maciej Paszynski:
Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids. ICCS (2) 2018: 760-772 - [c51]Leszek Siwik, Marcin Los, Adrian Klusek, Witold Dzwinel, Maciej Paszynski:
Tuning two-dimensional tumor growth simulations. SummerSim 2018: 9:1-9:12 - 2017
- [j46]Marcin Los, Maciej Paszynski:
Applications of Alternating Direction Solver for simulations of time-dependent problems. Comput. Sci. 18(2): 117-128 (2017) - [j45]Hassan AbouEisha, Victor Manuel Calo, Konrad Jopek, Mikhail Moshkov, Anna Paszynska, Maciej Paszynski, Marcin Skotniczny:
Element Partition Trees For H-Refined Meshes to Optimize Direct Solver Performance. Part I: Dynamic Programming. Int. J. Appl. Math. Comput. Sci. 27(2): 351 (2017) - [j44]Maciej Wozniak, Marcin Los, Maciej Paszynski, Lisandro Dalcín, Victor Manuel Calo:
Parallel Fast Isogeometric Solvers for Explicit Dynamics. Comput. Informatics 36(2): 423-448 (2017) - [j43]Marcin Los, Maciej Wozniak, Maciej Paszynski, Andrew Lenharth, Muhammad Amber Hassaan, Keshav Pingali:
IGA-ADS: Isogeometric analysis FEM using ADS solver. Comput. Phys. Commun. 217: 99-116 (2017) - [j42]Maciej Paszynski:
Agent-based simulations, adaptive algorithms and solvers. J. Comput. Sci. 18: 57-58 (2017) - [j41]Ignacio Martinez-Fernandez, Maciej Wozniak, Luis E. García-Castillo, Maciej Paszynski:
Mesh-based multi-frontal solver with reuse of partial LU factorizations for antenna array. J. Comput. Sci. 18: 132-142 (2017) - [c50]Aleksander Byrski, Maciej Paszynski, Robert Schaefer, Victor M. Calo, David Pardo:
ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. ICCS 2017: 796-797 - [c49]Maciej Paszynski, Antônio Tadeu Azevedo Gomes:
A wrapper around parallel MUMPS solver to reduce its memory usage and execution time for finite element method computations. ICCS 2017: 838-847 - [c48]Bartosz Janota, Maciej Paszynski:
Algorithms for construction of Element Partition Trees for Direct Solver executed over h refined grids with B-splines and C0 separators. ICCS 2017: 857-866 - [c47]Witold Dzwinel, Adrian Klusek, Maciej Paszynski:
A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling. ICCS 2017: 1832-1841 - [c46]