A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
Architec- ture and performance of devito, a system for automated stencil computation
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CStencil on the WSE-3 achieves up to 342x speedup for 2D stencils versus an adapted single-precision GPU solver and saturates both compute and on-chip memory bandwidth.
A method for adjoint differentiation of stencil loops that preserves their structure and parallelizability via combined AD and loop transformations, released as the PerforAD tool with seismic and CFD test cases.
A general mathematical framework is proposed for deriving arbitrary high-order shaped stencils in finite difference schemes for acoustic wave propagation, with tests indicating benefits for dispersion-optimized cross stencils over rhombus or square shapes.
Integration of OPS intermediate representation as a GPU backend in Devito DSL yields speedups over the core backend for structured-mesh finite-difference applications.
citing papers explorer
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Joint elastic full waveform inversion of multi-component geophone and distributed acoustic sensing data
A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
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Stencil Computations on Cerebras Wafer-Scale Engine
CStencil on the WSE-3 achieves up to 342x speedup for 2D stencils versus an adapted single-precision GPU solver and saturates both compute and on-chip memory bandwidth.
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Automatic Differentiation for Adjoint Stencil Loops
A method for adjoint differentiation of stencil loops that preserves their structure and parallelizability via combined AD and loop transformations, released as the PerforAD tool with seismic and CFD test cases.
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Arbitrary high order shaped stencils for time domain finite difference schemes in seismic wave propagation
A general mathematical framework is proposed for deriving arbitrary high-order shaped stencils in finite difference schemes for acoustic wave propagation, with tests indicating benefits for dispersion-optimized cross stencils over rhombus or square shapes.
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Investigating the OPS intermediate representation to target GPUs in the Devito DSL
Integration of OPS intermediate representation as a GPU backend in Devito DSL yields speedups over the core backend for structured-mesh finite-difference applications.