Joaquim Peiró

According to our database, Joaquim Peiró authored at least 26 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient vectorised kernels for unstructured high-order finite element fluid solvers on GPU architectures in two dimensions.

Jan Eichstädt, Joaquim Peiró, David Moxey

Comput. Phys. Commun., 2023

2021

Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/<i>hp</i> Element Methods.

Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin

SIAM Rev., 2021

Nektar++: Design and implementation of an implicit, spectral/hp element, compressible flow solver using a Jacobian-free Newton Krylov approach.

Zhen-Guo Yan, Yu Pan, Giacomo Castiglioni, Koen Hillewaert, Joaquim Peiró, David Moxey, Spencer J. Sherwin

Comput. Math. Appl., 2021

2020

Spatial eigenanalysis of spectral/<i>hp</i> continuous Galerkin schemes and their stabilisation via DG-mimicking spectral vanishing viscosity for high Reynolds number flows.

Rodrigo Costa Moura, Mansoor Aman, Joaquim Peiró, Spencer J. Sherwin

J. Comput. Phys., 2020

<i>Nektar</i>++: Enhancing the capability and application of high-fidelity spectral/hp element methods.

David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin

Comput. Phys. Commun., 2020

A comparison of the shared-memory parallel programming models <i>OpenMP</i>, <i>OpenACC</i> and <i>Kokkos</i> in the context of implicit solvers for high-order FEM.

Jan Eichstädt, Martin Vymazal, David Moxey, Joaquim Peiró

Comput. Phys. Commun., 2020

Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods.

Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin

CoRR, 2020

2019

A high resolution PDE approach to quadrilateral mesh generation.

Julian Marcon, David A. Kopriva, Spencer J. Sherwin, Joaquim Peiró

J. Comput. Phys., 2019

rp-adaptation for compressible flows.

Julian Marcon, Giacomo Castiglioni, David Moxey, Spencer J. Sherwin, Joaquim Peiró

CoRR, 2019

High-order curvilinear mesh in the numerical solution of PDEs with moving frames on the sphere.

Sehun Chun, Julian Marcon, Joaquim Peiró, Spencer J. Sherwin

CoRR, 2019

Naturally curved quadrilateral mesh generation using an adaptive spectral element solver.

Julian Marcon, David A. Kopriva, Spencer J. Sherwin, Joaquim Peiró

CoRR, 2019

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods.

David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin

CoRR, 2019

A semi-structured approach to curvilinear mesh generation around streamlined bodies.

Julian Marcon, Joaquim Peiró, David Moxey, Nico Bergemann, Henry Bucklow, Mark Gammon

CoRR, 2019

High-order curvilinear hybrid mesh generation for CFD simulations.

Julian Marcon, Michael Turner, Joaquim Peiró, David Moxey, Claire R. Pollard, Henry Bucklow, Mark Gammon

CoRR, 2019

A variational approach to high-order r-adaptation.

Julian Marcon, Michael Turner, David Moxey, Spencer J. Sherwin, Joaquim Peiró

CoRR, 2019

2018

A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations.

Andrew R. Winters, Rodrigo Costa Moura, Gianmarco Mengaldo, Gregor J. Gassner, Stefanie Walch, Joaquim Peiró, Spencer J. Sherwin

J. Comput. Phys., 2018

Accelerating high-order mesh optimisation with an architecture-independent programming model.

Jan Eichstädt, Mashy Green, Michael Turner, Joaquim Peiró, David Moxey

Comput. Phys. Commun., 2018

Curvilinear mesh generation using a variational framework.

Michael Turner, Joaquim Peiró, David Moxey

Comput. Aided Des., 2018

Simplifying High-Order Mesh Generation for Computational Scientists.

Jeremy Cohen, Julian Marcon, Michael Turner, David Moxey, Chris D. Cantwell, Spencer J. Sherwin, Joaquim Peiró

Proceedings of the 10th International Workshop on Science Gateways, 2018

2017

On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence.

Rodrigo Costa Moura, Gianmarco Mengaldo, Joaquim Peiró, Spencer J. Sherwin

J. Comput. Phys., 2017

2016

Eigensolution analysis of spectral/hp continuous Galerkin approximations to advection-diffusion problems: Insights into spectral vanishing viscosity.

Rodrigo Costa Moura, Spencer J. Sherwin, Joaquim Peiró

J. Comput. Phys., 2016

High-order curvilinear meshing using a thermo-elastic analogy.

David Moxey, D. Ekelschot, Ü. Keskin, Spencer J. Sherwin, Joaquim Peiró

Comput. Aided Des., 2016

2015

Linear dispersion-diffusion analysis and its application to under-resolved turbulence simulations using discontinuous Galerkin spectral/hp methods.

Rodrigo Costa Moura, Spencer J. Sherwin, Joaquim Peiró

J. Comput. Phys., 2015

2014

A Level Set Method for the Construction of Boundary Conforming Voronoi Regions and Delaunay Triangulations Governed by a Spatial Distribution of Metrics.

Ü. Keskin, Joaquim Peiró

J. Comput. Inf. Sci. Eng., 2014

2012

A Reparameterisation Based Approach to Geodesic Constrained Solvers for Curve Matching.

Colin J. Cotter, Allan Clark, Joaquim Peiró

Int. J. Comput. Vis., 2012

2008

Automatic reconstruction of a patient-specific high-order surface representation and its application to mesh generation for CFD calculations.

Joaquim Peiró, Spencer J. Sherwin, Sergio Giordana

Medical Biol. Eng. Comput., 2008