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• W2104899982 abstract "ABSTRACT We consider the modeling of (polarized) seismic wave propagation on a rectangular domain via the discretization and solution of the inhomogeneous Helmholtz equation in 3D, by exploiting a parallel multifrontal sparse direct solver equipped with Hierarchically Semi‐Separable (HSS) structure to reduce the computational complexity and storage. In particular, we are concerned with solving this equation on a large domain, for a large number of different forcing terms in the context of seismic problems in general, and modeling in particular. We resort to a parsimonious mixed grid finite differences scheme for discretizing the Helmholtz operator and Perfect Matched Layer boundaries, resulting in a non‐Hermitian matrix. We make use of a nested dissection based domain decomposition, and introduce an approximate direct solver by developing a parallel HSS matrix compression, factorization, and solution approach. We cast our massive parallelization in the framework of the multifrontal method. The assembly tree is partitioned into local trees and a global tree. The local trees are eliminated independently in each processor, while the global tree is eliminated through massive communication. The solver for the inhomogeneous equation is a parallel hybrid between multifrontal and HSS structure. The computational complexity associated with the factorization is almost linear in the size, n say, of the matrix, viz. between O ( n log n ) and O ( n 4/3 log n ) , while the storage is almost linear as well, between O ( n ) and O ( n log n ) . We exploit the use of a regular (Cartesian) mesh common in many seismic applications." @default.
• W2104899982 created "2016-06-24" @default.
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• W2104899982 date "2011-08-22" @default.
• W2104899982 modified "2023-09-25" @default.
• W2104899982 title "On 3D modeling of seismic wave propagation via a structured parallel multifrontal direct Helmholtz solver" @default.
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• W2104899982 doi "https://doi.org/10.1111/j.1365-2478.2011.00982.x" @default.
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