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09/26/2020
Lossy Checkpoint Compression in Full Waveform Inversion
This paper proposes a new method that combines check-pointing methods wi...
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07/05/2019
Automatic Differentiation for Adjoint Stencil Loops
Stencil loops are a common motif in computations including convolutional...
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05/30/2019
Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito
In this work, we illustrate an example of estimating the macro-model of ...
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02/13/2019
Training on the Edge: The why and the how
Edge computing is the natural progression from Cloud computing, where, i...
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10/11/2018
Combining checkpointing and data compression for large scale seismic inversion
Seismic inversion and imaging are adjoint-based optimization problems th...
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08/06/2018
Devito: an embedded domain-specific language for finite differences and geophysical exploration
We introduce Devito, a new domain-specific language for implementing hig...
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07/09/2018
Architecture and performance of Devito, a system for automated stencil computation
Stencil computations are a key part of many high-performance computing a...
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05/22/2018
Backpropagation for long sequences: beyond memory constraints with constant overheads
Naive backpropagation through time has a memory footprint that grows lin...
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01/12/2018
High-level python abstractions for optimal checkpointing in inversion problems
Inversion and PDE-constrained optimization problems often rely on solvin...
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07/12/2017
Optimised finite difference computation from symbolic equations
Domain-specific high-productivity environments are playing an increasing...
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09/12/2016
Devito: Towards a generic Finite Difference DSL using Symbolic Python
Domain specific languages (DSL) have been used in a variety of fields to...
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08/30/2016
Devito: automated fast finite difference computation
Domain specific languages have successfully been used in a variety of fi...
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08/13/2016