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@@ -1597,7 +1597,10 @@ which have never been calibrated yet, and save the result in
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@code{~/.starpu/sampling/codelets}.
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The models are indexed by machine name. To share the models between machines (e.g. for a homogeneous cluster), use @code{export STARPU_HOSTNAME=some_global_name}. To force continuing calibration, use
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@code{export STARPU_CALIBRATE=1} . This may be necessary if your application
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-has not-so-stable performance. Details on the current performance model status
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+has not-so-stable performance. StarPU will force calibration (and thus ignore
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+the current result) until 10 (STARPU_CALIBRATION_MINIMUM) measurements have been
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+made on each architecture, to avoid badly scheduling tasks just because the
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+first measurements were not so good. Details on the current performance model status
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can be obtained from the @code{starpu_perfmodel_display} command: the @code{-l}
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option lists the available performance models, and the @code{-s} option permits
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to choose the performance model to be displayed. The result looks like:
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