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| author | Nunigan <michael.schmid2@ost.ch> | 2021-08-03 22:08:02 +0200 |
|---|---|---|
| committer | Nunigan <michael.schmid2@ost.ch> | 2021-08-03 22:08:02 +0200 |
| commit | e5da5157fb61cdb006f3f50a2b3bd3b922644f1f (patch) | |
| tree | db84132c4dfbe94692a153895fb83eb84d3ed402 /buch/papers/multiplikation/loesungsmethoden.tex | |
| parent | update (diff) | |
| download | SeminarMatrizen-e5da5157fb61cdb006f3f50a2b3bd3b922644f1f.tar.gz SeminarMatrizen-e5da5157fb61cdb006f3f50a2b3bd3b922644f1f.zip | |
update
Diffstat (limited to 'buch/papers/multiplikation/loesungsmethoden.tex')
| -rwxr-xr-x | buch/papers/multiplikation/loesungsmethoden.tex | 73 |
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diff --git a/buch/papers/multiplikation/loesungsmethoden.tex b/buch/papers/multiplikation/loesungsmethoden.tex index 8a95dd5..780cbf3 100755 --- a/buch/papers/multiplikation/loesungsmethoden.tex +++ b/buch/papers/multiplikation/loesungsmethoden.tex @@ -358,10 +358,81 @@ Folgende Algorithmen wurden jweiles in \texttt{C} und \texttt{Python} implementi \item \textit{Devide and Conquer} Matrizenmultiplikation \item Strassen's Matrizenmultiplikation \item Winograd's Matrizenmultiplikation - \item \texttt{CBLAS} Matrizenmultiplikation in \texttt{C} + \item \texttt{BLAS} Matrizenmultiplikation in \texttt{C} \item \texttt{Numpy} Matrizenmultiplikation in \texttt{Python} \end{itemize} +Der Code kann im dazugeh\"orgien \textit{GitHub} Repository gefunden werden. + +\begin{table} + \begin{center} + \begin{tabular}{l l l l l l} + \hline + \hline + \textbf{n} & \textbf{MM (\textit{s})} & \textbf{MM DC (\textit{s})} & \textbf{Strassen (\textit{s})} & \textbf{Winograd (\textit{s})} & \textbf{BLAS (\textit{s})} \\ + \hline + \multicolumn{6}{c}{} \\ + \textbf{32} & 0.000081 &0.000594 & 0.00047& 0.00010 & 0.000022 \\ + \textbf{64} & 0.00065 & 0.0042& 0.0033& 0.00065& 0.00017 \\ + \textbf{128} & 0.0055 & 0.036& 0.024& 0.0052 & 0.0012 \\ + \textbf{256} & 0.054 & 0.32 & 0.17 & 0.057& 0.010 \\ + \textbf{512} & 0.48 & 2.61 & 1.20 & 0.51 & 0.074\\ + \textbf{1024} & 4.16 & 19.92& 8.45 & 4.53 & 0.704 \\ + \textbf{2048} & 125.90 & 159.33& 59.26 & 130.62 & 6.84 \\ + \textbf{4096} & 1111.31 & 1147.10& 414.64 & 1179.26 & 55.84\\ + \multicolumn{6}{c}{} \\ + \hline + \hline + \end{tabular} + \end{center} + \caption{Messresultate \texttt{C}} + \label{multiplikation:tab:messung_C} + \end{table} + + + + \begin{table} + \begin{center} + \begin{tabular}{l l l l l l} + \hline + \hline + \textbf{n} & \textbf{MM (\textit{s})} & \textbf{MM DC (\textit{s})} & \textbf{Strassen (\textit{s})} & \textbf{Winograd (\textit{s})} & \textbf{\texttt{NumPy}(\textit{s})} \\ + \hline + \multicolumn{6}{c}{} \\ + \textbf{32} & 0.0240 &0.0271 & 0.04852& 0.01871 & 4.26e-05 \\ + \textbf{64} & 0.186 & 0.265& 0.2204& 0.1530& 0.000118 \\ + \textbf{128} & 1.563 & 1.777& 1.447& 1.1947 & 0.000244 \\ + \textbf{256} & 11.006 & 13.27 & 9.938 & 8.298& 0.000695 \\ + \textbf{512} & 85.476 & 105.397 & 63.961 & 68.36 & 0.00221\\ + \textbf{1024} & 750.757 & 847.321& 461.494 & 537.374 & 0.0188 \\ + \textbf{4096} & - & - & - & - & 1.633 \\ + \multicolumn{6}{c}{} \\ + \hline + \hline + \end{tabular} + \end{center} + \caption{Messresultate \texttt{Python}} + \label{multiplikation:tab:messung_Python} + \end{table} + + \begin{table} + \begin{center} + \begin{tabular}{c c c c} + \hline + \hline + \textbf{CPU} & \textbf{OS} & \textbf{GPU } & \textbf{Memory } \\ + \hline + \multicolumn{4}{c}{} \\ + Intel® Core™ i7-4770K CPU & Ubuntu 20.04.2 LTS & Radeon RX 570 & 32 GB 1600 MHz \\ + @ 3.50GHz × 8 & 64-bit & & \\ + \multicolumn{4}{c}{} \\ + \hline + \hline + \end{tabular} + \end{center} + \caption{Messsystem} + \label{multiplikation:tab:pc_config} + \end{table} \begin{figure} \center |