Geometry, Mechanics, and Dynamics
DOI: 10.1007/0-387-21791-6_3
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Asynchronous Variational Integrators

Abstract: We describe a new class of asynchronous variational integrators (AVI) for nonlinear elastodynamics. The AVIs are distinguished by the following attributes: (i) The algorithms permit the selection of independent time steps in each element, and the local time steps need not bear an integral relation to each other; (ii) the algorithms derive from a spacetime form of a discrete version of Hamilton's variational principle. As a consequence of this variational structure, the algorithms conserve local momenta and a l… Show more

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Cited by 83 publications
(145 citation statements)
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References 27 publications
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“…First, they are common in graph analytics, especially in search problems [33,55]. Second, they are important in simulating systems whose state evolves over time, such as circuits [47], computers [12,59], networks [37,72], healthcare systems [39], and systems of partial differential equations [32,44]. Third, they are needed in systems that must maintain externally-imposed order constraints, such as geo-replicated databases where transactions must appear to execute in timestamp order [14], or deterministic architectures [17,45] and record-andreplay systems [36,77] that constrain the schedule of parallel programs to ensure deterministic execution.…”
Section: Motivation 21 Ordered Irregular Parallelismmentioning
confidence: 99%
“…First, they are common in graph analytics, especially in search problems [33,55]. Second, they are important in simulating systems whose state evolves over time, such as circuits [47], computers [12,59], networks [37,72], healthcare systems [39], and systems of partial differential equations [32,44]. Third, they are needed in systems that must maintain externally-imposed order constraints, such as geo-replicated databases where transactions must appear to execute in timestamp order [14], or deterministic architectures [17,45] and record-andreplay systems [36,77] that constrain the schedule of parallel programs to ensure deterministic execution.…”
Section: Motivation 21 Ordered Irregular Parallelismmentioning
confidence: 99%
“…This approach gives rise to structure-preserving integration algorithms. In fact, the ideas of structure preservation used in this paper are also tied to the numerical techniques we employ; we make use of the Newmark integrator, which has recently been shown to be a variational integrator by Kane et al [13]; see also [20] for an asynchronous generalization to the PDE context and with applications to nonlinear elastodynamic simulations. As such, the model reduction gives rise to a time-discretized evolution equation which exactly preserves momentum and the symplectic form, and approximately preserves energy.…”
Section: Structure Preservationmentioning
confidence: 99%
“…It would be quite interesting to put the theory here into a more hierarchical and adaptive context by making use of the recent developments of PDE asynchronous, multisymplectic integrators given in [20] and the CHARMs (conforming hierarchical adaptive refinement methods) methodology given in [15,16]. This would hopefully lead to a SPAHMR (structure-preserving adaptive hierarchical model reduction; pronounced "Spammer") methodology that would also automatically deal with any symmetries that are present in a given problem.…”
Section: Conclusion Comments and Future Directionsmentioning
confidence: 99%
“…First, we quickly review, from Marsden et al [82] and Lew et al [80,81], some facts about multisymplectic variational integrators for smooth unconstrained problems. Then, we develop our approach for two different classes of constrained problems, using the generalized Lagrange multiplier approach.…”
Section: Multisymplectic Variational Integrator For Nonsmooth Mechanimentioning
confidence: 99%
“…, A}. Discrete (nonzero) traction boundary conditions can be easily handled by considering a slight modification of the discrete variational principle, as explained in Lew et al [80].…”
Section: Discrete Bundles and Configurations Consider A Trivial Bundlementioning
confidence: 99%