Articles | Volume 15, issue 9
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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Cited articles

Aminzadeh, F. and Brac, J.: SEG/EAGE 3-D Overthrust Models, Zenodo [data set],, 1997. a
Aupy, G. and Herrmann, J.: Periodicity in optimal hierarchical checkpointing schemes for adjoint computations, Optim. Method. Softw., 32, 594–624,, 2017. a
Blanchet, J., Cartis, C., Menickelly, M., and Scheinberg, K.: Convergence rate analysis of a stochastic trust-region method via supermartingales, INFORMS journal on optimization, 1, 92–119,, 2019. a
Boehm, C., Hanzich, M., de la Puente, J., and Fichtner, A.: Wavefield compression for adjoint methods in full-waveform inversion, Geophysics, 81, R385–R397,, 2016. a, b, c
Chatelain, Y., Petit, E., de Oliveira Castro, P., Lartigue, G., and Defour, D.: Automatic exploration of reduced floating-point representations in iterative methods, in: European Conference on Parallel Processing, Springer, 481–494,, 2019. a
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.