activity
20172026
most citedStorm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean

18 citations · 80 across the 17 of their papers we have counts for

collaborators

17 papers

cs.PL2026

Portability of Fortran's 'do concurrent' on GPUs II

Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker +6

There continues to be growing interest in using standard language constructs for parallel and accelerated HPC computing, avoiding the need for (sometimes vendor-specific) external…

math.NA2024★ 6 cited

Local Time-Stepping for the Shallow Water Equations using CFL Optimized Forward-Backward Runge-Kutta Schemes

Jeremy R. Lilly, Giacomo Capodaglio, Darren Engwirda +2

The Courant-Friedrichs-Lewy (CFL) condition is a well known, necessary condition for the stability of explicit time-stepping schemes that effectively places a limit on the size of…

math.NA2023★ 5 cited

CFL Optimized Forward-Backward Runge-Kutta Schemes for the Shallow Water Equations

Jeremy R. Lilly, Darren Engwirda, Giacomo Capodaglio +2

We present the formulation and optimization of a Runge-Kutta-type time-stepping scheme for solving the shallow water equations, aimed at substantially increasing the effective allo…

math.NA2023

A scalable domain decomposition method for FEM discretizations of nonlocal equations of integrable and fractional type

Manuel Klar, Giacomo Capodaglio, Marta D'Elia +3

Nonlocal models allow for the description of phenomena which cannot be captured by classical partial differential equations. The availability of efficient solvers is one of the mai…

physics.flu-dyn2022★ 18 cited

Storm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean

Jeremy R. Lilly, Giacomo Capodaglio, Mark R. Petersen +3

This paper presents the first scientific application of local time-stepping (LTS) schemes in the Model for Prediction Across Scales-Ocean (MPAS-O). We use LTS schemes in a single-l…

math.NA2022★ 1 cited

An asymptotically compatible coupling formulation for nonlocal interface problems with jumps

Christian Glusa, Marta D'Elia, Giacomo Capodaglio +2

We introduce a mathematically rigorous formulation for a nonlocal interface problem with jumps and propose an asymptotically compatible finite element discretization for the weak f…

physics.comp-ph2021★ 7 cited

An unstructured CD-grid variational formulation for sea ice dynamics

Giacomo Capodaglio, Mark R. Petersen, Adrian K. Turner +1

For the numerical simulation of earth system models, Arakawa grids are largely employed. A quadrilateral mesh is assumed for their classical definition, and different types of grid…

math.NA2021★ 12 cited

Local time stepping for the shallow water equations in MPAS

Giacomo Capodaglio, Mark Petersen

We assess the performance of a set of local time-stepping (LTS) schemes for the shallow water equations implemented in the Model for Prediction Across Scales (MPAS). The goal of LT…

math.NA2021★ 9 cited

Efficient quadrature rules for finite element discretizations of nonlocal equations

Eugenio Aulisa, Giacomo Capodaglio, Andrea Chierici +1

In this paper we design efficient quadrature rules for finite element discretizations of nonlocal diffusion problems with compactly supported kernel functions. Two of the main chal…

math.NA2020

A general framework for substructuring-based domain decomposition methods for models having nonlocal interactions

Giacomo Capodaglio, Marta D'Elia, Max Gunzburger +3

A rigorous mathematical framework is provided for a substructuring-based domain-decomposition approach for nonlocal problems that feature interactions between points separated by a…

math.AP2020

An energy-based coupling approach to nonlocal interface problems

Giacomo Capodaglio, Marta D'Elia, Pavel Bochev +1

Nonlocal models provide accurate representations of physical phenomena ranging from fracture mechanics to complex subsurface flows, where traditional partial differential equations…

math.NA2019★ 1 cited

A computational study of preconditioning techniques for the stochastic diffusion equation with lognormal coefficient

Eugenio Aulisa, Giacomo Capodaglio, Guoyi Ke

We present a computational study of several preconditioning techniques for the GMRES algorithm applied to the stochastic diffusion equation with a lognormal coefficient discretized…

math.NA2019★ 1 cited

Piecewise polynomial approximation of probability density functions with application to uncertainty quantification for stochastic PDEs

Giacomo Capodaglio, Max Gunzburger

The probability density function (PDF) associated with a given set of samples is approximated by a piecewise-linear polynomial constructed with respect to a binning of the sample s…

physics.comp-ph2018★ 13 cited

Monolithic coupling of implicit material point method with finite element method

Eugenio Aulisa, Giacomo Capodaglio

A monolithic coupling between the material point method (MPM) and the finite element method (FEM) is presented. The MPM formulation described is implicit, and the exchange of infor…

math.NA2018★ 1 cited

Approximation of probability density functions for PDEs with random parameters using truncated series expansions

Giacomo Capodaglio, Max Gunzburger, Henry P. Wynn

The probability density function (PDF) of a random variable associated with the solution of a partial differential equation (PDE) with random parameters is approximated using a tru…

math.NA2018★ 2 cited

Construction of h-refined continuous finite element spaces with arbitrary hanging node configurations and applications to multigrid algorithms

Eugenio Aulisa, Giacomo Capodaglio, Guoyi Ke

We present a novel approach for the construction of basis functions to be employed in selective or adaptive h-refined finite element applications with arbitrary-level hanging node…

math.NA2017★ 4 cited

Convergence estimates for multigrid algorithms with SSC smoothers and applications to overlapping domain decomposition

Eugenio Aulisa, Giorgio Bornia, Sara Calandrini +1

In this paper we study convergence estimates for a multigrid algorithm with smoothers of successive subspace correction (SSC) type, applied to symmetric elliptic PDEs. First, we re…