%%% Macros specific to this figure
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        ~
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%%% Taken directly from Palmed paper
\begin{figure}
    \centering
    \begin{figleftlabel}{}
        \begin{minipage}[c]{0.03\linewidth}~\end{minipage}\figspaceleft{}
        \begin{minipage}[c]{0.13\linewidth}
            \figcollegend{\palmed{}}
        \end{minipage}\figspacemid{}
        \begin{minipage}[c]{0.13\linewidth}
            \figcollegend{uops.info}
        \end{minipage}\figspacemid{}
        \begin{minipage}[c]{0.13\linewidth}
            \figcollegend{PMEvo}
        \end{minipage}\figspacemid{}
        \begin{minipage}[c]{0.13\linewidth}
            \figcollegend{IACA}
        \end{minipage}\figspacemid{}
        \begin{minipage}[c]{0.13\linewidth}
            \figcollegend{llvm-mca}
        \end{minipage}\figspaceright{}
        \begin{minipage}[c]{0.035\linewidth}~\end{minipage}
    \end{figleftlabel}

    \begin{figleftlabel}{SKL-SP}
        \figfiverow{SPEC 17}{spec-W-skx}

        \figspacerow

        \figfiverow{Polybench}{polybench-W-skx}
    \end{figleftlabel}

    \figspacerow{}

    \begin{figleftlabel}{ZEN1}
        \figthreerow{SPEC 17}{spec-W-zen}

        \figspacerow

        \figthreerowlegend{Polybench}{polybench-W-zen}
    \end{figleftlabel}

    \caption{IPC prediction profile heatmaps~---~predictions closer to the
        red line are more accurate. Predicted IPC ratio (Y) against native
    IPC (X)}
    \label{fig:palmed_heatmaps}
\end{figure}

\begin{table}
    \centering
    \begin{tabular}{l l c r r r r}
        \toprule
        & & & \multicolumn{2}{c}{SKL-SP} & \multicolumn{2}{c}{ZEN1} \\
        & & & \centerheader{SPEC2017} & \centerheader{Polybench} &
        \centerheader{SPEC2017} & \centerheader{Polybench} \\
        \midrule
        \multirow{3}{*}{\palmed}
                    & \covrow{} & \na{}{} & \na{} & \na{} & \na{} \\
                    & \errrow{} & 7.8 & 24.4 & 29.9 & 32.6 \\
                    & \taurow{} & 0.90 & 0.78 & 0.68 & 0.46 \\
        \midrule{}
        \multirow{3}{*}{\uopsinfo}
                    & \covrow{} & 99.9 & 100.0 & \na{} & \na{} \\
                    & \errrow{} & 40.3 & 68.1 & \na{} & \na{} \\
                    & \taurow{} & 0.71 & 0.29 & \na{} & \na{} \\
        \midrule{}
        \multirow{3}{*}{\pmevo}
                    & \covrow{} & 71.3 & 66.8 & 71.3 & 66.8 \\
                    & \errrow{} & 28.1 & 46.7 & 36.5 & 38.5 \\
                    & \taurow{} & 0.47 & 0.14 & 0.43 & 0.11 \\
        \midrule{}
        \multirow{3}{*}{\iaca}
                    & \covrow{} & 100.0 & 100.0 & \na{} & \na{} \\
                    & \errrow{} & 8.7 & 15.1 & \na{} & \na{} \\
                    & \taurow{} & 0.80 & 0.67 & \na{} & \na{} \\
        \midrule{}
        \multirow{3}{*}{\llvmmca}
                    & \covrow{} & 96.8 & 99.5 & 96.8 & 99.5 \\
                    & \errrow{} & 20.1 & 15.3 & 33.4 & 28.6 \\
                    & \taurow{} & 0.73 & 0.65 & 0.75 & 0.40 \\
        \bottomrule
    \end{tabular}

    \caption{Accuracy of IPC predictions compared to \pipedream{}-based native
    executions on SPEC 2017 and Polybench}\label{table:palmed_eval}
\end{table}