Matteo Parsani

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Navier Stokes Equations

Massively Parallel

Top Venues

J. Comput. Phys.

Comput. Math. Appl.

SIAM J. Numer. Anal.

Publications

Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. Comput. Phys. Commun. 302 (2024)
Nadezhda Briantceva, Lokendra Chouhan, Matteo Parsani, Mohamed-Slim Alouini
Mobile Sub-diffusion Molecular Communication Channel. NANOCOM (2023)
Rasha Al Jahdali, Samuel Kortas, M. Shaikh, Lisandro Dalcín, Matteo Parsani
Evaluation of next-generation high-order compressible fluid dynamic solver on cloud computing for complex industrial flows. Array 17 (2023)
Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. CoRR (2023)
Irving Reyna Nolasco, Aimad Er-Raiy, Radouan Boukharfane, Anwar A. Aldhafeeri, Lisandro Dalcín, Matteo Parsani
Eigenanalysis and non-modal analysis of collocated discontinuous Galerkin discretizations with the summation-by-parts property. Comput. Math. Appl. 124 (2022)
Hendrik Ranocha, Andrew R. Winters, Hugo Guillermo Castro, Lisandro Dalcín, Michael Schlottke-Lakemper, Gregor J. Gassner, Matteo Parsani
On error-based step size control for discontinuous Galerkin methods for compressible fluid dynamics. CoRR (2022)
Rasha Al Jahdali, Lisandro Dalcín, Radouan Boukharfane, Irving Reyna Nolasco, David E. Keyes, Matteo Parsani
Optimized explicit Runge-Kutta schemes for high-order collocated discontinuous Galerkin methods for compressible fluid dynamics. Comput. Math. Appl. 118 (2022)
Hua Shen, Rasha Al Jahdali, Matteo Parsani
A class of high-order weighted compact central schemes for solving hyperbolic conservation laws. J. Comput. Phys. 466 (2022)
Marcin Rogowski, Lisandro Dalcín, Matteo Parsani, David E. Keyes
Performance analysis of relaxation Runge-Kutta methods. Int. J. High Perform. Comput. Appl. 36 (4) (2022)
Nadezhda Briantceva, Lokendra Chouhan, Matteo Parsani, Mohamed-Slim Alouini
Evanescence reaction in subdiffusion molecular communication channel. NANOCOM (2022)
Rasha Al Jahdali, Lisandro Dalcín, Matteo Parsani
On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations. J. Comput. Phys. 464 (2022)
Hua Shen, Matteo Parsani
A Rotated Characteristic Decomposition Technique for High-Order Reconstructions in Multi-dimensions. J. Sci. Comput. 88 (3) (2021)
Diego Rojas, Radouan Boukharfane, Lisandro Dalcín, David C. Del Rey Fernández, Hendrik Ranocha, David E. Keyes, Matteo Parsani
On the robustness and performance of entropy stable collocated discontinuous Galerkin methods. J. Comput. Phys. 426 (2021)
Hua Shen, Matteo Parsani
A rotated characteristic decomposition technique for high-order reconstructions in multi-dimensions. CoRR (2021)
Hua Shen, Matteo Parsani
A class of high-order weighted compact central schemes for solving hyperbolic conservation laws. CoRR (2021)
Matteo Parsani, Radouan Boukharfane, Irving Reyna Nolasco, David C. Del Rey Fernández, Stefano Zampini, Bilel Hadri, Lisandro Dalcín
High-order accurate entropy-stable discontinuous collocated Galerkin methods with the summation-by-parts property for compressible CFD frameworks: Scalable SSDC algorithms and flow solver. J. Comput. Phys. 424 (2021)
Marcin Rogowski, Lisandro Dalcín, Matteo Parsani, David E. Keyes
Implications of Reduced Communication Precision in a Collocated Discontinuous Galerkin Finite Element Framework. HPEC (2021)
Hendrik Ranocha, Lisandro Dalcín, Matteo Parsani, David I. Ketcheson
Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics. CoRR (2021)
Mohammed Sayyari, Matteo Parsani, Lisandro Dalcín
Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows. CoRR (2021)
David I. Ketcheson, Matteo Parsani, Zachary Grant, Aron J. Ahmadia, Hendrik Ranocha
RK-Opt: A package for the design of numerical ODE solvers. J. Open Source Softw. 5 (54) (2020)
Bilel Hadri, Matteo Parsani, Maxwell Hutchinson, Alexander Heinecke, Lisandro Dalcín, David E. Keyes
Performance study of sustained petascale direct numerical simulation on Cray XC40 systems. Concurr. Comput. Pract. Exp. 32 (20) (2020)
David I. Ketcheson, Hendrik Ranocha, Matteo Parsani, Umair bin Waheed, Yiannis Hadjimichael
NodePy: A package for the analysis of numerical ODE solvers. J. Open Source Softw. 5 (55) (2020)
Hendrik Ranocha, Lisandro Dalcín, Matteo Parsani
Fully discrete explicit locally entropy-stable schemes for the compressible Euler and Navier-Stokes equations. Comput. Math. Appl. 80 (5) (2020)
Hendrik Ranocha, Lisandro Dalcín, Matteo Parsani
Fully-Discrete Explicit Locally Entropy-Stable Schemes for the Compressible Euler and Navier-Stokes Equations. CoRR (2020)
Hendrik Ranocha, Mohammed Sayyari, Lisandro Dalcín, Matteo Parsani, David I. Ketcheson
Relaxation Runge-Kutta Methods: Fully Discrete Explicit Entropy-Stable Schemes for the Compressible Euler and Navier-Stokes Equations. SIAM J. Sci. Comput. 42 (2) (2020)
Diego Rojas, Radouan Boukharfane, Lisandro Dalcín, David C. Del Rey Fernández, Hendrik Ranocha, David E. Keyes, Matteo Parsani
On the robustness and performance of entropy stable discontinuous collocation methods for the compressible Navie-Stokes equations. CoRR (2019)
Brandon Cloutier, Benson K. Muite, Matteo Parsani
Fully Implicit Time Stepping Can Be Efficient on Parallel Computers. Supercomput. Front. Innov. 6 (2) (2019)
David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, Stefano Zampini, Matteo Parsani
Entropy Stable h/p-Nonconforming Discretization with the Summation-by-Parts Property for the Compressible Euler and Navier-Stokes Equations. CoRR (2019)
Hua Shen, Matteo Parsani
A rezoning-free CESE scheme for solving the compressible Euler equations on moving unstructured meshes. J. Comput. Phys. 397 (2019)
David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, Lucas Friedrich, Andrew R. Winters, Gregor J. Gassner, Matteo Parsani
Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Navier-Stokes Equations. CoRR (2019)
Lisandro Dalcín, Diego Rojas, Stefano Zampini, David C. Del Rey Fernández, Mark H. Carpenter, Matteo Parsani
Conservative and entropy stable solid wall boundary conditions for the compressible Navier-Stokes equations: Adiabatic wall and heat entropy transfer. J. Comput. Phys. 397 (2019)
Irving Reyna Nolasco, Lisandro Dalcín, David C. Del Rey Fernández, Stefano Zampini, Matteo Parsani
Optimized geometrical metrics satisfying free-stream preservation. CoRR (2019)
David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, L. Fredrich, Diego Rojas, Andrew R. Winters, Gregor J. Gassner, Stefano Zampini, Matteo Parsani
Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Euler equations. CoRR (2019)
Lucas Friedrich, Andrew R. Winters, David C. Del Rey Fernández, Gregor J. Gassner, Matteo Parsani, Mark H. Carpenter
An Entropy Stable h / p Non-Conforming Discontinuous Galerkin Method with the Summation-by-Parts Property. J. Sci. Comput. 77 (2) (2018)
A. F. Sarmiento, L. F. R. Espath, Philippe A. Vignal, Lisandro Dalcín, Matteo Parsani, Victor M. Calo
An energy-stable generalized-α method for the Swift-Hohenberg equation. J. Comput. Appl. Math. 344 (2018)
Hua Shen, Matteo Parsani
Positivity-preserving CE/SE schemes for solving the compressible Euler and Navier-Stokes equations on hybrid unstructured meshes. Comput. Phys. Commun. 232 (2018)
Magnus Svärd, Mark H. Carpenter, Matteo Parsani
Entropy Stability and the No-Slip Wall Boundary Condition. SIAM J. Numer. Anal. 56 (1) (2018)
Hua Shen, Chih-Yung Wen, Matteo Parsani, Chi-Wang Shu
Maximum-principle-satisfying space-time conservation element and solution element scheme applied to compressible multifluids. J. Comput. Phys. 330 (2017)
Matteo Parsani, Mark H. Carpenter, Travis C. Fisher, Eric J. Nielsen
Entropy Stable Staggered Grid Discontinuous Spectral Collocation Methods of any Order for the Compressible Navier-Stokes Equations. SIAM J. Sci. Comput. 38 (5) (2016)
Maxwell Hutchinson, Alexander Heinecke, Hans Pabst, Greg Henry, Matteo Parsani, David E. Keyes
Efficiency of High Order Spectral Element Methods on Petascale Architectures. ISC (2016)
Matteo Parsani, Mark H. Carpenter, Eric J. Nielsen
Entropy stable discontinuous interfaces coupling for the three-dimensional compressible Navier-Stokes equations. J. Comput. Phys. 290 (2015)
Matteo Parsani, Mark H. Carpenter, Eric J. Nielsen
Entropy stable wall boundary conditions for the three-dimensional compressible Navier-Stokes equations. J. Comput. Phys. 292 (2015)
David I. Ketcheson, Lajos Lóczi, Matteo Parsani
Internal Error Propagation in Explicit Runge-Kutta Methods. SIAM J. Numer. Anal. 52 (5) (2014)
Matteo Parsani, David I. Ketcheson, W. Deconinck
Optimized Explicit Runge-Kutta Schemes for the Spectral Difference Method Applied to Wave Propagation Problems. SIAM J. Sci. Comput. 35 (2) (2013)
David I. Ketcheson, Matteo Parsani, Randall J. LeVeque
High-Order Wave Propagation Algorithms for Hyperbolic Systems. SIAM J. Sci. Comput. 35 (1) (2013)
David I. Ketcheson, Kyle T. Mandli, Aron J. Ahmadia, Amal Alghamdi, Manuel Quezada de Luna, Matteo Parsani, Matthew G. Knepley, Matthew Emmett
PyClaw: Accessible, Extensible, Scalable Tools for Wave Propagation Problems. SIAM J. Sci. Comput. 34 (4) (2012)
Matteo Parsani, David I. Ketcheson, W. Deconinck
Optimized explicit Runge-Kutta schemes for the spectral difference method applied to wave propagation problems CoRR (2012)
Matteo Parsani, Ghader Ghorbaniasl, Chris Lacor
Analysis of the implicit LU-SGS algorithm for 3rd- and 4th-order spectral volume scheme for solving the steady Navier-Stokes equations. J. Comput. Phys. 230 (19) (2011)
David I. Ketcheson, Kyle T. Mandli, Aron J. Ahmadia, Amal Alghamdi, Manuel Quezada de Luna, Matteo Parsani, Matthew G. Knepley, Matthew Emmett
Accessible, Extensible, Scalable Tools for Wave Propagation Problems CoRR (2011)
Matteo Parsani, Ghader Ghorbaniasl, Chris Lacor, Eli Turkel
An implicit high-order spectral difference approach for large eddy simulation. J. Comput. Phys. 229 (14) (2010)
Matteo Parsani, Kris Van den Abeele, Chris Lacor, Eli Turkel
Implicit LU-SGS algorithm for high-order methods on unstructured grid with p-multigrid strategy for solving the steady Navier-Stokes equations. J. Comput. Phys. 229 (3) (2010)
Kris Van den Abeele, Ghader Ghorbaniasl, Matteo Parsani, Chris Lacor
A stability analysis for the spectral volume method on tetrahedral grids. J. Comput. Phys. 228 (2) (2009)