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. 2022 Mar 18;55(Pt 2):329–339. doi: 10.1107/S1600576722001261

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© Alberto Leonardi et al. 2022

This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

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Analysis of computing performance. Time required to compute the shape function for a cube with (black full dots) a variable number of directions (or polar and azimuthal angle intervals, e.g. @40 for ) and 10 000 points per solution, or (blue open dot) 409 033 directions (i.e. @400) and a variable number of points per solution. The best-fit linear trends are also shown (red dash–dotted line). The deviation of the fit for the shape function resolution curve is caused by a constant initialization time.

Inline graphic — Analysis of computing performance. Time required to compute the shape function for a cube with (black full dots) a variable number of directions (or polar and azimuthal angle intervals, e.g. @40 for ) and 10 000 points per solution, or (blue open dot) 409 033 directions (i.e. @400) and a variable number of points per solution. The best-fit linear trends are also shown (red dash–dotted line). The deviation of the fit for the shape function resolution curve is caused by a constant initialization time.