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Abstract

Summary

The paper presents an overview of the methodology that CGG uses to makes suitable and sometimes unconventional choices for its seismic processing HPC infrastructure.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201903284
2019-10-07
2024-04-24

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References

  1. Tchiboukdjian, M.
    & al., [2016] GPU wrapper: a portable API for heterogenous programming, Rice Oil & Gas HPC Conference.
     [Google Scholar]
  2. Williams, S
    , , [2009] Roofline: an insightful visual performance model for floatingpoint origrams and multicore architectures, osti.gov
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201903284
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CGG: A Journey from Software to Hardware
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201903284
/content/papers/10.3997/2214-4609.201903284
/content/papers/10.3997/2214-4609.201903284
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