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@@ -1276,7 +1276,9 @@ model type). This still assumes performance regularity, but can work
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with various data input sizes, by applying regression over observed
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with various data input sizes, by applying regression over observed
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execution times. STARPU_REGRESSION_BASED uses an a*n^b regression
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execution times. STARPU_REGRESSION_BASED uses an a*n^b regression
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form, STARPU_NL_REGRESSION_BASED uses an a*n^b+c (more precise than
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form, STARPU_NL_REGRESSION_BASED uses an a*n^b+c (more precise than
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-STARPU_REGRESSION_BASED, but costs a lot more to compute)
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+STARPU_REGRESSION_BASED, but costs a lot more to compute). For instance,
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+@code{tests/perfmodels/regression_based.c} uses a regression-based performance
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+model for the @code{memset} operation
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@item
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@item
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Provided explicitly by the application (STARPU_PER_ARCH model type): the
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Provided explicitly by the application (STARPU_PER_ARCH model type): the
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