Add wallclock-time plots

plots/matrix_infinite.tex

@@ -8,7 +8,7 @@
             ymin=0,
             ymax=20,
             ymajorgrids,
-            ylabel={Relative Performance},
+            ylabel={Speedup},
             tick pos=left,
             xtick=data,
             xticklabels from table={\csv}{level},

plots/vector_infinite.tex

@@ -8,7 +8,7 @@
             ymin=0,
             ymax=20,
             ymajorgrids,
-            ylabel={Relative Performance},
+            ylabel={Speedup},
             tick pos=left,
             xtick=data,
             xticklabels from table={\csv}{level},

plots/wallclock_time.csv

@@ -0,0 +1,3 @@
+system,haxpy,dnn,gemv,vmul,vadd
+PIM-HBM,135.58,49.17,256.96,128.43,136.81
+HBM,3084.85,941.57,6788.0,1701.99,2136.37

plots/wallclock_time.tex

@@ -0,0 +1,40 @@
+\begin{tikzpicture}
+    \pgfplotstableread[col sep=comma]{plots/wallclock_time.csv}\csv
+    \begin{axis}[
+            width=10cm,
+            height=4cm,
+            ybar=1pt,
+            bar width = 5pt,
+            ymin=0,
+            ymax=1e4,
+			ymode=log,
+            ymajorgrids,
+            ylabel={Runtime [s]},
+            tick pos=left,
+            xtick=data,
+            xticklabels from table={\csv}{system},
+            enlarge x limits=0.5,
+            legend style={
+                at={(current bounding box.south-|current axis.south)},
+                anchor=north,
+                legend columns=-1,
+                draw=none,
+                /tikz/every even column/.append style={column sep=0.5cm}
+            },
+        ]
+        \addplot[fill=_darkblue!90] table [x expr=\coordindex, y={vadd}]{\csv};
+        \addlegendentry{VADD}
+
+        \addplot[fill=_blue!90] table [x expr=\coordindex, y={vmul}]{\csv};
+        \addlegendentry{VMUL}
+
+        \addplot[fill=_green!90] table [x expr=\coordindex, y={haxpy}]{\csv};
+        \addlegendentry{HAXPY}
+
+        \addplot[fill=_orange!90] table [x expr=\coordindex, y={gemv}]{\csv};
+        \addlegendentry{GEMV}
+
+        \addplot[fill=yellow!90] table [x expr=\coordindex, y={dnn}]{\csv};
+        \addlegendentry{DNN}
+    \end{axis}
+\end{tikzpicture}

samplepaper.tex

@@ -351,6 +351,17 @@ However, this memory barrier has also been implemented in our VADD kernel, which
 
 The \ac{gemv} microbenchmark on the other hand shows a more matching result with an average speedup value of $\qty{8.3}{\times}$ for Samsung's real system and \qty{2.6}{\times} for their virtual prototype, while this paper achieved an average speedup of $\qty{9.0}{\times}$, which is well within the reach of the real hardware implementation.
 
+\begin{figure}
+    \centering
+    \input{plots/wallclock_time}
+    \caption{Runtimes of the simulation workloads on the host system.}
+    \label{fig:wallclock_time}
+\end{figure}
+
+\Cref{fig:wallclock_time} shows the simulation runtimes of the various workloads on the host system.
+With \ac{pim} enabled, the runtime drops by about an order of magnitude for some workloads, indicating the reduced simulation effort on gem5's complex processor model, as only new memory requests are issued by the model during operation of \ac{pim}.
+Therefore, exploring the effectiveness of different \ac{pim}-enabled workloads may be less time-consuming due to the reduced simulation complexity.
+
 \section{Conclusion}
 % TODO Lukas/Matthias
 %