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Resurrecting GSLIB by Code Optimization and Multi-core Programming

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Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment

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Abstract

A methodology to accelerate GSLIB routines is presented, using the last updated Fortran codes as base. Minimal code modifications are added decreasing as much as possible the elapsed time of execution of the studied routines. If multi-core processing is available, the user can activate special instructions in the code to speed up the execution using all resources of the CPU. Two case studies are presented with the corresponding elapsed times and speedup results.

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Author information

Authors and Affiliations

  1. ALGES Lab, Advanced Mining Technology Center, University of Chile, Santiago, Chile

    Oscar Peredo & Julián M. Ortiz

  2. Department of Mining Engineering, University of Chile, Santiago, Chile

    Julián M. Ortiz

Authors
  1. Oscar Peredo
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  2. Julián M. Ortiz
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Corresponding author

Correspondence to Oscar Peredo .

Editor information

Editors and Affiliations

  1. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India

    N. Janardhana Raju

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© 2016 Capital Publishing Company

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Peredo, O., Ortiz, J.M. (2016). Resurrecting GSLIB by Code Optimization and Multi-core Programming. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_25

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