Navjot Kukreja | DeepAI

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Featured Co-authors

Felix J. Herrmann
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Mathias Louboutin
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Paul H. J. Kelly
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Fabio Luporini
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Gerard Gorman
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Gerard J. Gorman
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Michael Lange
10 publications
Philipp A. Witte
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Jan Hückelheim
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Paul Hovland
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Nicola Ferrier
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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...

0 Navjot Kukreja, et al. ∙

∙ 07/05/2019

Automatic Differentiation for Adjoint Stencil Loops

Stencil loops are a common motif in computations including convolutional...

0 Jan Hückelheim, et al. ∙

∙ 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 ...

0 Oscar F. Mojica, et al. ∙

∙ 02/13/2019

Training on the Edge: The why and the how

Edge computing is the natural progression from Cloud computing, where, i...

0 Navjot Kukreja, et al. ∙

∙ 10/11/2018

Combining checkpointing and data compression for large scale seismic inversion

Seismic inversion and imaging are adjoint-based optimization problems th...

0 Navjot Kukreja, et al. ∙

∙ 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...

0 Mathias Louboutin, et al. ∙

∙ 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...

0 Fabio Luporini, et al. ∙

∙ 05/22/2018

Backpropagation for long sequences: beyond memory constraints with constant overheads

Naive backpropagation through time has a memory footprint that grows lin...

0 Navjot Kukreja, et al. ∙

∙ 01/12/2018

High-level python abstractions for optimal checkpointing in inversion problems

Inversion and PDE-constrained optimization problems often rely on solvin...

0 Navjot Kukreja, et al. ∙

∙ 07/12/2017

Optimised finite difference computation from symbolic equations

Domain-specific high-productivity environments are playing an increasing...

0 Michael Lange, et al. ∙

∙ 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...

0 Michael Lange, et al. ∙

∙ 08/30/2016

Devito: automated fast finite difference computation

Domain specific languages have successfully been used in a variety of fi...

0 Navjot Kukreja, et al. ∙

∙ 08/13/2016

Performance prediction of finite-difference solvers for different computer architectures

The life-cycle of a partial differential equation (PDE) solver is often ...

0 Mathias Louboutin, et al. ∙

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