Name
Title | ||
|---|---|---|
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. |
Abstract | ||
|---|---|---|
Nektar++ is an open-source framework that provides a flexible, performant and scalable platform for the development of solvers for partial differential equations using the high-order spectral/$hp$ element method. In particular, Nektar++ aims to overcome the complex implementation challenges that are often associated with high-order methods, thereby allowing them to be more readily used in a wide range of application areas. In this paper, we present the algorithmic, implementation and application developments associated with our Nektar++ version 5.0 release. We describe some of the key software and performance developments, including our strategies on parallel I/O, on in-situ processing, the use of collective operations for exploiting current and emerging hardware, and interfaces to enable multi-solver coupling. Furthermore, we provide details on a newly developed Python interface that enable more rapid on-boarding of new users unfamiliar with spectral/$hp$ element methods, C++ and/or Nektar++. This release also incorporates a number of numerical method developments - in particular: the method of moving frames, which provides an additional approach for the simulation of equations on embedded curvilinear manifolds and domains; a means of handling spatially variable polynomial order; and a novel technique for quasi-3D simulations to permit spatially-varying perturbations to the geometry in the homogeneous direction. Finally, we demonstrate the new application-level features provided in this release, namely: a facility for generating high-order curvilinear meshes called NekMesh; a novel new AcousticSolver for aeroacoustic problems; our development of a 'thick' strip model for the modelling of fluid-structure interaction problems in the context of vortex-induced vibrations. We conclude by commenting some directions for future code development and expansion. |
Year | Venue | DocType |
|---|---|---|
2019 | CoRR | Journal |
Volume | Citations | PageRank |
abs/1906.03489 | 0 | 0.34 |
References | Authors | |
0 | 17 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Moxey | 1 | 9 | 3.02 |
| Chris D. Cantwell | 2 | 67 | 10.16 |
| Yan Bao | 3 | 1 | 0.70 |
| Andrea Cassinelli | 4 | 0 | 0.34 |
| Giacomo Castiglioni | 5 | 0 | 0.34 |
| Sehun Chun | 6 | 0 | 0.68 |
| Emilia Juda | 7 | 0 | 0.34 |
| Ehsan Kazemi | 8 | 1 | 0.70 |
| Kilian Lackhove | 9 | 0 | 0.34 |
| Julian Marcon | 10 | 0 | 1.01 |
| Gianmarco Mengaldo | 11 | 0 | 0.34 |
| Douglas Serson | 12 | 0 | 0.34 |
| Michael Turner | 13 | 0 | 1.35 |
| Hui Xu | 14 | 0 | 2.70 |
| Joaquim Peiró | 15 | 0 | 0.34 |
| Robert M. Kirby | 16 | 1443 | 115.55 |
| Spencer J. Sherwin | 17 | 140 | 16.13 |