From 4231ebec314d60e7c600f2425f0b28dfa3ffc0e8 Mon Sep 17 00:00:00 2001 From: "Julian M. Kunkel" Date: Tue, 25 Aug 2020 18:29:23 +0100 Subject: [PATCH] Minor improvements. --- fig/progress_4296426-out-boxplot.png | Bin 73689 -> 66973 bytes fig/progress_5024292-out-boxplot.png | Bin 77467 -> 71900 bytes fig/progress_7488914-out-boxplot.png | Bin 77798 -> 70419 bytes paper/main.tex | 37 +++++++++++++-------------- scripts/plot-performance.R | 4 +-- scripts/plot.R | 2 +- 6 files changed, 21 insertions(+), 22 deletions(-) diff --git a/fig/progress_4296426-out-boxplot.png b/fig/progress_4296426-out-boxplot.png index e4df5dc5c0ae4a87db7fc1ad12a4f47e0885e1cf..8b92555b702b25b9dd95986c799e9d059bcedf7f 100644 GIT binary patch literal 66973 zcmd43d037A+b$eJB0@z)10szy(p(f8G|!VtQYxBhBxPtM4T>g8tp*j%BO0hEnl(s~ z=24Tzect(g_p|r2_x|HO-eW)SyN=`c>#Ma|>t3JF^|`L|I?waE@2i|YLq*9zNk&FS zb?)qGH8L{tOyYkO>+ze5rw%>Fk1f~E>N=2-@f;-nx9)nPq%#>A3)#8T(i+#Fj&$8{ zSDagUKgoaYu>VNNJ+_@8EXi#Vsq*QvqjsmhG$c1@WmKtYDBL$pC8gx#x3;U8j@nSj zHf!=6xMz5A=jj6vJz~3=`&a7Bn5r)xii}hY`R%$gBhKGF?jrHX?d7j%hq}2`6_N&V 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zcj1iwdfC9<9Fem#Uwe~itp1uG%uD|46Fc2qT2g~PaTD5wY!S7Rt-$@KAJf71P%JC2 zek5MFxA}$lC?*nY8w)h@m|6(-P?9<(XJnHGoJLG!EHh7`JIh$@c9hQ!3lnF3}!)>e^^KemV_x5`^E?G3ow`-TyZ5-psiG^v~@;ks?ed#33 zn8d2}03wiD#0*akN^mfe{!GUED hU6TL5<-`7Tb{Txub$goK5pj!}v-D<0Xe{3Ge*wwO=WhT2 diff --git a/paper/main.tex b/paper/main.tex index 41498b3..f3375a8 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -213,12 +213,12 @@ We believe this will then allow a near-online analysis of a job. \begin{subfigure}{0.31\textwidth} \centering \includegraphics[width=\textwidth]{progress_4296426-out-boxplot} - \caption{Job-S} \label{fig:perf-job-S} + \caption{Job-S (runtime=15,551\,s, segments=25)} \label{fig:perf-job-S} \end{subfigure} \begin{subfigure}{0.31\textwidth} \centering \includegraphics[width=\textwidth]{progress_5024292-out-boxplot} - \caption{Job-M} \label{fig:perf-job-M} + \caption{Job-M (runtime=28,828\,s, segments=48)} \label{fig:perf-job-M} \end{subfigure} \begin{subfigure}{0.31\textwidth} \centering @@ -226,7 +226,7 @@ We believe this will then allow a near-online analysis of a job. \caption{Job-L} \label{fig:perf-job-L} \end{subfigure} - \caption{Runtime overview for all algorithms and jobs} + \caption{Runtime of the algorithms to compute the similarity to reference jobs} \label{fig:performance} \end{figure} @@ -333,50 +333,49 @@ For Job-L, the two hex algorithms include with (12 and 13) a bit more diverse us \end{subfigure} -\caption{User information for each jobs} +\caption{User information for all 100 top ranked jobs} \label{fig:userids} \end{figure} \begin{figure} -\begin{subfigure}{0.31\textwidth} -\centering -\includegraphics[width=\textwidth]{job_similarities_4296426-out/jobs-nodes} -\caption{Job-S} \label{fig:nodes-job-S} -\end{subfigure} -\begin{subfigure}{0.31\textwidth} +%\begin{subfigure}{0.31\textwidth} +%\centering +%\includegraphics[width=\textwidth]{job_similarities_4296426-out/jobs-nodes} +%\caption{Job-S} \label{fig:nodes-job-S} +%\end{subfigure} +\begin{subfigure}{0.48\textwidth} \centering \includegraphics[width=\textwidth]{job_similarities_5024292-out/jobs-nodes} -\caption{Job-M} \label{fig:nodes-job-M} +\caption{Job-M (ref. job runs on 128 nodes)} \label{fig:nodes-job-M} \end{subfigure} -\begin{subfigure}{0.31\textwidth} +\begin{subfigure}{0.48\textwidth} \centering \includegraphics[width=\textwidth]{job_similarities_7488914-out/jobs-nodes} -\caption{Job-L} \label{fig:nodes-job-L} +\caption{Job-L (reference job runs on 20 nodes)} \label{fig:nodes-job-L} \end{subfigure} \centering -\caption{Distribution of node counts} +\caption{Distribution of node counts (for Job-S nodes=1 in all cases)} \label{fig:nodes-job} \end{figure} - \begin{figure} \begin{subfigure}{0.31\textwidth} \centering \includegraphics[width=\textwidth]{job_similarities_4296426-out/jobs-elapsed} -\caption{Job-S} \label{fig:runtime-job-S} +\caption{Job-S ($job=10^{4.19}$)} \label{fig:runtime-job-S} \end{subfigure} \begin{subfigure}{0.31\textwidth} \centering \includegraphics[width=\textwidth]{job_similarities_5024292-out/jobs-elapsed} -\caption{Job-M} \label{fig:runtime-job-M} +\caption{Job-M ($job=10^{4.46}$)} \label{fig:runtime-job-M} \end{subfigure} \begin{subfigure}{0.31\textwidth} \centering \includegraphics[width=\textwidth]{job_similarities_7488914-out/jobs-elapsed} -\caption{Job-L} \label{fig:runtime-job-L} +\caption{Job-L ($job=10^{5.3}$)} \label{fig:runtime-job-L} \end{subfigure} \centering -\caption{Distribution of elapsed runtime} +\caption{Distribution of runtime for all 100 top ranked jobs} \label{fig:runtime-job} \end{figure} diff --git a/scripts/plot-performance.R b/scripts/plot-performance.R index 86d2678..4433b4b 100755 --- a/scripts/plot-performance.R +++ b/scripts/plot-performance.R @@ -14,8 +14,8 @@ data = read.csv(file) e = data %>% filter(jobs_done >= (jobs_total - 9998)) e$time_per_100k = e$elapsed / (e$jobs_done / 100000) -ggplot(e, aes(alg_name, time_per_100k, fill=alg_name)) + geom_boxplot() + theme(legend.position=c(0.2, 0.7)) + xlab("Algorithm") + ylab("Runtime in s per 100k jobs") + stat_summary(aes(label=round(..y..,0)), position = position_nudge(x = 0, y = 250), fun=mean, geom="text", size=4) -ggsave(paste(prefix, "-boxplot.png", sep=""), width=5, height=4) +ggplot(e, aes(alg_name, time_per_100k, fill=alg_name)) + geom_boxplot() + theme(legend.position=c(0.2, 0.7)) + xlab("Algorithm") + ylab("Runtime in s per 100k jobs") + stat_summary(aes(label=round(..y..,0)), position = position_nudge(x = 0, y = 200), fun=mean, geom="text", size=4) + theme(legend.title = element_blank()) +ggsave(paste(prefix, "-boxplot.png", sep=""), width=4, height=4) # Development when adding more jobs ggplot(data, aes(x=jobs_done, y=elapsed, color=alg_name)) + geom_point() + ylab("Cummulative runtime in s") + xlab("Jobs processed") + theme(legend.position = "bottom") #+ scale_x_log10() + scale_y_log10() diff --git a/scripts/plot.R b/scripts/plot.R index e66316c..c53b032 100755 --- a/scripts/plot.R +++ b/scripts/plot.R @@ -122,7 +122,7 @@ for (alg_name in levels(data$alg_name)){ res.jobs = rbind(res.jobs, cbind(alg_name, metadata[metadata$jobid %in% result[, alg_name],])) } -ggplot(res.jobs, aes(alg_name, total_nodes, fill=alg_name)) + geom_boxplot() + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels = trans_format("log2", math_format(2^.x))) + theme(legend.position = "none") +ggplot(res.jobs, aes(alg_name, total_nodes, fill=alg_name)) + geom_boxplot() + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels = trans_format("log2", math_format(2^.x))) + theme(legend.position = "none") + xlab("Algorithm") ggsave("jobs-nodes.png", width=6, height=4) ggplot(res.jobs, aes(alg_name, elapsed, fill=alg_name)) + geom_boxplot() + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log10", function(x) 10^x), labels = trans_format("log10", math_format(10^.x))) + ylab("Runtime in s") + xlab("Algorithm") + theme(legend.position = "none")