Imperial College London
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ProfessorGerardGorman

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Computational Science and Engineering
 
 
 
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Contact

 

+44 (0)20 7594 9985g.gorman Website

 
 
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Location

 

R4.92Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Kukreja:2019:10.1007/978-3-030-29400-7_7,
author = {Kukreja, N and Hückelheim, J and Louboutin, M and Hovland, P and Gorman, G},
doi = {10.1007/978-3-030-29400-7_7},
pages = {87--100},
title = {Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems},
url = {http://dx.doi.org/10.1007/978-3-030-29400-7_7},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Seismic inversion and imaging are adjoint-based optimization problems that process up to terabytes of data, regularly exceeding the memory capacity of available computers. Data compression is an effective strategy to reduce this memory requirement by a certain factor, particularly if some loss in accuracy is acceptable. A popular alternative is checkpointing, where data is stored at selected points in time, and values at other times are recomputed as needed from the last stored state. This allows arbitrarily large adjoint computations with limited memory, at the cost of additional recomputations. In this paper, we combine compression and checkpointing for the first time to compute a realistic seismic inversion. The combination of checkpointing and compression allows larger adjoint computations compared to using only compression, and reduces the recomputation overhead significantly compared to using only checkpointing.
AU  - Kukreja,N
AU  - Hückelheim,J
AU  - Louboutin,M
AU  - Hovland,P
AU  - Gorman,G
DO  - 10.1007/978-3-030-29400-7_7
EP  - 100
PY  - 2019///
SN  - 0302-9743
SP  - 87
TI  - Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems
UR  - http://dx.doi.org/10.1007/978-3-030-29400-7_7
ER  -
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