Abstract The Geostatistical Software Library (GSLIB) has been used in the geostatistical
community for more than thirty years. It was designed as a bundle of sequential Fortran
codes, and today it is still in use by many practitioners and researchers. Despite its
widespread use, few attempts have been reported in order to bring this package to the multi-
core era. Using all CPU resources, GSLIB algorithms can handle large datasets and grids,
where tasks are compute-and memory-intensive applications. In this work, a methodology is …