From 7e716e1db21ce42862dd8462fcdeb09619705281 Mon Sep 17 00:00:00 2001 From: Claudio Maggioni Date: Wed, 5 Oct 2022 20:04:15 +0200 Subject: [PATCH] hw1: added figure for stride/csize graph --- Project1/project_1_maggioni_claudio.pdf | Bin 342732 -> 376977 bytes Project1/project_1_maggioni_claudio.tex | 148 +++++++++++++++++++++--- 2 files changed, 135 insertions(+), 13 deletions(-) diff --git a/Project1/project_1_maggioni_claudio.pdf b/Project1/project_1_maggioni_claudio.pdf index e02a84600d4e7fe2f0330d19361312265cebba24..619c8ed4af38e148346016d2a92a3b4db6c1e3bc 100644 GIT binary patch delta 107614 zcmZVlV{m3qwEhprwr%r{ZENC5CdS0JbH}!A+nm_8?M!UrKi_kH&-3QI*j2k~U$uJe z{`Bg)c6aZ|M~rxXY-&m+aY;rNCJs2t*~Ot%I2KM40EwNEB^*CL9J9QMt(mhq2@4x5 zOX?g7Bn@y%W6XAw8>Q==-uX8;c?jRornQ+=lsi?oiDTT7BiD!)uhy``@kwc0+1ATo|o&q(Y-g!#cqlE#VJ8>5hl0dqNOZ2IY8JQJJD(wt;M!lJD;B0`i;u*rAZ)Q=o}9xNp3 zLOdY-Kz1&%V8U<2Pdl^#9&6x<*;2R?o>j$Or|dSkl$RjHv8aN#Gl*Qfxcv;RrJVM)GkX(R6 z5hmv6M9PJ?b(Ew%$COd8_35G3l*B4@FhcvY 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\serieheader{High-Performance Computing Lab}{2022}{Student: Claudio -Maggioni}{Discussed with: ---}{Solution for Project 1}{} +Maggioni}{Discussed with: --}{Solution for Project 1}{} \newline -\assignmentpolicy -In this project you will practice memory access optimization, -performance-oriented programming, and OpenMP parallelizaton on the ICS Cluster. +%\assignmentpolicy +%In this project you will practice memory access optimization, +%performance-oriented programming, and OpenMP parallelizaton on the ICS Cluster. + +\tableofcontents \section{Explaining Memory Hierarchies \punkte{25}} \subsection{Memory Hierarchy Parameters of the Cluster} -By identifying the memory hierarchy parameters through \texttt{likwid-topology} -for the cache topology and \texttt{free -g} for the amount of primary memory I -find the following values: +By invoking \texttt{likwid-topology} for the cache topology and \texttt{free -g} +for the amount of primary memory, the following memory hierarchy parameters are +found: \begin{center} \begin{tabular}{llll} @@ -41,10 +47,11 @@ All values are reported using base 2 IEC byte units. The cluster has 2 sockets and a total of 20 cores (10 per socket). The cache topology diagram reported by \texttt{likwid-topology -g} is shown in Figure \ref{fig:topo}. +\pagebreak[4] + \begin{figure}[t] \begin{center} Socket 0:\vspace{0.3cm} - \begin{tabular}{|l|l|l|l|l|l|l|l|l|l|} \hline 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 \\\hline 32 kB & 32 kB & 32 kB & 32 kB & 32 kB & 32 kB & 32 kB & 32 kB & 32 @@ -70,6 +77,75 @@ and a total of 20 cores (10 per socket). The cache topology diagram reported by \subsection{Memory Access Pattern of \texttt{membench.c}} +\begin{figure}[t] +\begin{center} +\begin{tikzpicture} + \tikzset{->-/.style={decoration={ + markings, + mark=at position .75 with {\arrow{>}}},postaction={decorate}}}; + + \draw (0,0) grid (5,1); + \draw [dashed] (5,0) -- (5.5,0); + \draw [dashed] (5,1) -- (5.5,1); + \draw [dashed] (6.5,0) -- (7,0); + \draw [dashed] (6.5,1) -- (7,1); + \draw (7,0) grid (12,1); + + \foreach \r in {0,1,...,4}{ + \fill (\r + 0.5,0.5) circle [radius=2pt]; + \draw[->-] (\r-0.5,0.5) to[bend left] (\r+0.5,0.5); + \draw (\r + 0.5, -0.5) node {$\r$}; + } + \draw[->-] (4.5,0.5) to[bend left] (5.5,0.5); + \foreach \r in {7,8,...,11}{ + \fill (\r + 0.5,0.5) circle [radius=2pt]; + \FPeval{l}{round(\r + 128 - 12, 0)} + \draw[->-] (\r-0.5,0.5) to[bend left] (\r+0.5,0.5); + \draw (\r + 0.5, -0.5) node {$\l$}; + } + + \draw (0,-3) grid (3,-2); + \draw [dashed] (3,-2) -- (3.5,-2); + \draw [dashed] (3,-3) -- (3.5,-3); + \draw [dashed] (4,-2) -- (4.5,-2); + \draw [dashed] (4,-3) -- (4.5,-3); + \draw (4.5,-2) -- (7.5,-2); + \draw (4.5,-3) -- (7.5,-3); + \foreach \r in {4.5,5.5,...,7.5}{ + \draw (\r,-3) -- (\r,-2); + } + \draw [dashed] (7.5,-2) -- (8,-2); + \draw [dashed] (7.5,-3) -- (8,-3); + \draw [dashed] (8.5,-2) -- (9,-2); + \draw [dashed] (8.5,-3) -- (9,-3); + \draw (9,-3) grid (12,-2); + + \fill (0.5,-2.5) circle [radius=2pt]; + \fill (6,-2.5) circle [radius=2pt]; + \fill (11.5,-2.5) circle [radius=2pt]; + \foreach \r in {0,1,2}{ + \draw (\r + 0.5, -3.5) node {$\r$}; + } + \foreach \r in {9,10,11}{ + \FPeval{l}{round(\r - 12, 0)} + \draw (\r + 0.5, -3.5) node {\tiny $2^{20} \l$}; + } + \foreach \r in {4.5,5.5}{ + \FPeval{l}{round(\r - 6.5, 0)} + \draw (\r + 0.5, -3.5) node {\tiny $2^{10} \l$}; + } + \draw (7,-3.5) node {\tiny $2^{10}$}; + \draw[->-] (-0.5,-2.5) to[bend left] (0.5,-2.5); + \draw[->-] (0.5,-2.5) to[bend left] (6,-2.5); + \draw[->-] (6,-2.5) to[bend left] (11.5,-2.5); +\end{tikzpicture} +\end{center} + \caption{Memory access patterns of \texttt{membench.c} for \texttt{csize = + 128} and \texttt{stride = 1} (above) and for \texttt{csize = $2^{20}$} and + \texttt{stride = $2^{10}$} (below)} + \label{fig:access} +\end{figure} + The benchmark \texttt{membench.c} measures the average time of repeated read and write overations across a set of indices of a stack-allocated array of 32-bit signed integers. The indices vary according to the access pattern used, which in @@ -84,7 +160,8 @@ and so on and so forth. Therefore, for \texttt{csize = 128} and \texttt{stride = 1} the array will access all indexes between 0 and 127 sequentially, and for \texttt{csize = $2^{20}$} and \texttt{stride = $2^{10}$} the benchmark will access index 0, then -index $2^{10}-1$, and finally index $2^{20}-1$. +index $2^{10}-1$, and finally index $2^{20}-1$. The access patterns for these +two configurations are shown visually in Figure \ref{fig:access}. \subsection{Analyzing Benchmark Results} @@ -212,8 +289,9 @@ implementing the pseudocode, my implementation: \end{figure} The results of the matrix multiplication benchmark for the naive, blocked, and -BLAS implementations are shown in Figure \ref{fig:bench}. The blocked -implementation achieves approximately 50\% more FLOPS than the naive +BLAS implementations are shown in Figure \ref{fig:bench} as a graph of GFlop/s +over matrix size or in Figure \ref{fig:benchtab} as a table. The blocked +implementation achieves on average 50\% more FLOPS than the naive implementation thanks to the optimisations in space and temporal cache locality described. However, the blocked implementation achives less than a tenth of FLOPS compared to Intel MKL BLAS based one due to the microarchitecture @@ -221,9 +299,53 @@ optimization the latter one is able to exploit. \begin{figure}[t] \includegraphics[width=\textwidth]{timing.pdf} - \caption{Results of the matrix multiplication benchmark for the naive, - blocked, and BLAS implementations} + \caption{GFlop/s per matrix size of the matrix multiplication benchmark for the naive, + blocked, and BLAS implementations. The Y-axis is log-scaled.} \label{fig:bench} \end{figure} +\begin{figure}[t] +\begin{center} +\begin{tabular}{c|cc|cc|cc} + \toprule + & \multicolumn{2}{c|}{Naive} & \multicolumn{2}{c|}{Blocked} & + \multicolumn{2}{c}{BLAS} \\ + \makecell{Size} & \makecell{MFLOPS} & + \makecell{\% CPU} & \makecell{MFLOPS} & + \makecell{\% CPU} & \makecell{MFLOPS} & + \makecell{\% CPU} \\ + \midrule + 31 & 2393.33 & 6.50 & 2112.63 & 5.74 & 23449.20 & 63.72 \\ + 32 & 2400.13 & 6.52 & 2187.44 & 5.94 & 28198.90 & 76.63 \\ + 96 & 1998.74 & 5.43 & 2325.39 & 6.32 & 32542.30 & 88.43 \\ + 97 & 1996.01 & 5.42 & 2322.81 & 6.31 & 29801.30 & 80.98 \\ + 127 & 1923.81 & 5.23 & 2330.30 & 6.33 & 28557.80 & 77.60 \\ + 128 & 1731.98 & 4.71 & 2282.93 & 6.20 & 32643.30 & 88.70 \\ + 129 & 1903.31 & 5.17 & 2334.25 & 6.34 & 31198.20 & 84.78 \\ + 191 & 1736.78 & 4.72 & 2345.91 & 6.37 & 32247.30 & 87.63 \\ + 192 & 1694.44 & 4.60 & 2345.38 & 6.37 & 32830.60 & 89.21 \\ + 229 & 1715.10 & 4.66 & 2351.01 & 6.39 & 34360.90 & 93.37 \\ + 255 & 1720.39 & 4.67 & 2335.21 & 6.35 & 33477.70 & 90.97 \\ + 256 & 777.65 & 2.11 & 2306.48 & 6.27 & 33473.90 & 90.96 \\ + 257 & 1729.27 & 4.70 & 2330.68 & 6.33 & 33686.50 & 91.54 \\ + 319 & 1704.80 & 4.63 & 2360.03 & 6.41 & 34335.20 & 93.30 \\ + 320 & 1414.84 & 3.84 & 2364.53 & 6.43 & 36438.10 & 99.02 \\ + 321 & 1741.30 & 4.73 & 2366.38 & 6.43 & 35433.70 & 96.29 \\ + 417 & 1733.00 & 4.71 & 2378.34 & 6.46 & 36133.70 & 98.19 \\ + 479 & 1731.17 & 4.70 & 2233.05 & 6.07 & 32951.40 & 89.54 \\ + 480 & 1678.77 & 4.56 & 2187.87 & 5.95 & 37260.00 & 101.25 \\ + 511 & 1733.60 & 4.71 & 2224.61 & 6.05 & 34128.00 & 92.74 \\ + 512 & 782.96 & 2.13 & 2284.85 & 6.21 & 36526.40 & 99.26 \\ + 639 & 1714.42 & 4.66 & 2292.78 & 6.23 & 35249.20 & 95.79 \\ + 640 & 663.42 & 1.80 & 2264.70 & 6.15 & 36538.70 & 99.29 \\ + 767 & 1690.82 & 4.59 & 2324.83 & 6.32 & 35718.50 & 97.06 \\ + 768 & 792.04 & 2.15 & 2363.92 & 6.42 & 32116.80 & 87.27 \\ + 769 & 1696.95 & 4.61 & 2321.31 & 6.31 & 33033.90 & 89.77 \\ + \bottomrule +\end{tabular} +\end{center} + \caption{MFlop/s and CPU utlisation per matrix size of the matrix + multiplication benchmark for the naive, blocked, and BLAS implementations.} + \label{fig:benchtab} +\end{figure} \end{document}