Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3815-2022
https://doi.org/10.5194/gmd-15-3815-2022
Development and technical paper
 | 
12 May 2022
Development and technical paper |  | 12 May 2022

Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman

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Latest update: 17 Jun 2024
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Short summary
Full waveform inversion (FWI) is a partial-differential equation (PDE)-constrained optimization problem that is notorious for its high computational load and memory footprint. In this paper we present a method that combines recomputation with lossy compression to accelerate the computation with minimal loss of precision in the results. We show this using experiments running FWI with a variety of compression settings on a popular academic dataset.