The method of polarized traces for the 3D Helmholtz equation

Author:

Zepeda-Núñez Leonardo1ORCID,Scheuer Adrien2ORCID,Hewett Russell J.3ORCID,Demanet Laurent4

Affiliation:

1. Formerly Massachusetts Institute of Technology, Department of Mathematics and Earth Resources Laboratory, 77 Massachusetts Ave, Cambridge, Massachusetts 02139, USA, University of California Irvine, Department of Mathematics, 540 Rowland Hall, Irvine, California 92963, USA; currently Lawrence Berkeley National Laboratory, Computational Research Division, 1 Cyclotron Road, Berkeley, California 94720, USA.(corresponding author).

2. Formerly Massachusetts Institute of Technology, Department of Mathematics and Earth Resources Laboratory, 77 Massachusetts Ave, Cambridge, Massachusetts 02139, USA; currently Université Catholique de Louvain, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, 4, Avenue G. Lemaitre, Louvain-la-Neuve B-1348, Belgium..

3. Formerly Total E&P Research & Technology USA, LLC, 1201 Louisiana St., Suite 1800, Houston, Texas 77002, USA; currently Virginia Tech, Department of Mathematics, 460 McBryde Hall, 255 Stanger St., Blacksburg, Virginia 24061, USA..

4. Massachusetts Institute of Technology, Department of Mathematics and Earth Resources Laboratory, 77 Massachusetts Ave, Cambridge, Massachusetts 02139, USA..

Abstract

We have developed a fast solver for the 3D Helmholtz equation, in heterogeneous, constant density, acoustic media, in the high-frequency regime. The solver is based on the method of polarized traces, a layered domain-decomposition method, where the subdomains are connected via transmission conditions prescribed by the discrete Green’s representation formula and artificial reflections are avoided by enforcing nonreflecting boundary conditions between layers. The method of polarized traces allows us to consider only unknowns at the layer interfaces, reducing the overall cost and memory footprint of the solver. We determine that polarizing the wavefields in this manner yields an efficient preconditioner for the reduced system, whose rate of convergence is independent of the problem frequency. The resulting preconditioned system is solved iteratively using generalized minimum residual, where we never assemble the reduced system or preconditioner; rather, we implement them via solving the Helmholtz equation locally within the subdomains. The method is parallelized using Message Passing Interface and coupled with a distributed linear algebra library and pipelining to obtain an empirical on-line runtime [Formula: see text], where [Formula: see text] is the total number of degrees of freedom, [Formula: see text] is the number of subdomains, and [Formula: see text] is the number of right-hand sides (RHS). This scaling is favorable for regimes in which the number of sources (distinct RHS) is large, for example, enabling large-scale implementations of frequency-domain full-waveform inversion.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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