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correct mistake in Autotuner docs
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kostrzewa committed Jan 28, 2025
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Expand Up @@ -465,7 +465,7 @@ \subsubsection{QUDA-MG interface}
\subsubsection{Autotuning MG parameters}

The performance of the MG solver is sensitively dependent on the machine configuration, the local volume, the ensemble parameters as well as the combination of MG parameters.
Parameter sets which are efficient on a particular machine for a particular ensemble may be very inefficient on another machine or for another ensemble.
Parameter sets which are efficient on a particular machine for a particular ensemble may not be very inefficient on another machine or for another ensemble.
This is the case, for example, when parameter sets tuned on NVIDIA-based machines are re-used on maches based on AMD accelerators, which show much lower coarse-grid performance and hence require a different balance of work on the coarse, intermediate and fine grids.

The \texttt{deriv\_mg\_tune} executable hijacks the inversions required for the calculation of the derivative of \texttt{DET} monomials in order to provide a mechanism for tuning the MG parameters.
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