diff --git a/reports/experiments/experiments.tex b/reports/experiments/experiments.tex
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 \documentclass[11pt,a4paper]{article}
 
 \usepackage[english]{babel}
 \usepackage[a4paper,left=2cm,right=2cm,top=2.5cm,bottom=2.5cm]{geometry}
 \usepackage{booktabs}
 \usepackage{hyperref}
 \usepackage{minted}
 \usepackage{parskip}
 \usepackage{siunitx}
 
 \title{Google Summer of Code 2019}
 \author{Thibault Allançon}
 \date{April 8, 2019}
 
 \begin{document}
 
 \maketitle
 
 Early experiments running WebGraph framework on the Software Heritage datasets.
 
 \section{Environment}
 
 Compression script and Dockerfile can be found here:
 \url{https://forge.softwareheritage.org/source/graph-compression/browse/master/compression/}.
 
 \section{Datasets analysis}
 
 \begin{center}
     \begin{tabular}{@{} l *4r @{}}
         \toprule
         \multicolumn{1}{c}{} &
             \textbf{\mintinline{text}{.nodes.csv.gz}} &
             \textbf{\mintinline{text}{.edges.csv.gz}} &
             \textbf{\# of nodes} & \textbf{\# of edges} \\
         \midrule
         \texttt{release\_to\_obj}
             & 344M & 382M & \num{16222788} & \num{9907464} \\
         \texttt{origin\_to\_snapshot}
             & 1.3G & 3.7G & \num{112564374} & \num{194970670} \\
         \texttt{dir\_to\_rev}
             & 745M & 12G & \num{35399184} & \num{481829426} \\
         \texttt{snapshot\_to\_obj}
             & 3.5G & 21G & \num{170999796} & \num{831089515} \\
         \texttt{rev\_to\_rev}
             & 22G & 33G & \num{1117498391} & \num{1165813689} \\
         \texttt{rev\_to\_dir}
             & 41G & 48G & \num{2047888941} & \num{1125083793} \\
         \texttt{dir\_to\_dir}
             & 95G & 1.3T & \num{4805057515} & \num{48341950415} \\
         \texttt{dir\_to\_file}
             & 180G & 3T & \num{9231457233} & \num{112363058067} \\
         \midrule
-        Entire graph & 340G & 4.5T & \num{17537088222} & \num{164513703039} \\
+        Entire graph & 340G & 4.5T & \num{11595403407} & \num{164513703039} \\
         \bottomrule
     \end{tabular}
 \end{center}
 
 \section{Results}
 
 Datasets were compressed on different VM (depending on availability):
 
 \begin{itemize}
     \item 1TB of RAM and 40vCPU: \mintinline{text}{dir_to_dir}
     \item 700GB of RAM and 72vCPU: \mintinline{text}{dir_to_file}
     \item 2TB of RAM and 128vCPU: all the others datasets
 \end{itemize}
 
 Note: the results may vary because random permutations are used in the graph
 compression process.
 
 \begin{center}
     \begin{tabular}{@{} l *4r @{}}
         \toprule
         \multicolumn{1}{c}{} &
             \textbf{compr ratio} & \textbf{bit/edge} & \textbf{compr
             size\footnotemark} \\
         \midrule
         \texttt{release\_to\_obj} & 0.367 & 9.573 & 23M \\
         \texttt{origin\_to\_snapshot} & 0.291 & 8.384 & 140M \\
         \texttt{dir\_to\_rev} & 0.07 & 1.595 & 120M & \\
         \texttt{snapshot\_to\_obj} & 0.067 & 1.798 & 253M \\
         \texttt{rev\_to\_rev} & 0.288 & 9.063 & 2.2G \\
         \texttt{rev\_to\_dir} & 0.291 & 9.668 & 2.6G \\
         \texttt{dir\_to\_dir} & 0.336 & 10.178 & 61G \\
         \texttt{dir\_to\_file} & 0.228 & 7.054 & 97G \\
         \midrule
         Entire graph (estimated) & & & 163G \\
         \bottomrule
     \end{tabular}
 \end{center}
 
 \footnotetext{calculated as: size of \mintinline{bash}{*.graph} + size of
 \mintinline{bash}{*.offsets}}
 
 \section{Timings}
 
 \begin{center}
     \begin{tabular}{@{} l *6r @{}}
         \toprule
         \multicolumn{1}{c}{} &
             \textbf{MPH} &
             \textbf{BVGraph} &
             \textbf{Symmetrized} &
             \textbf{LLP} &
             \textbf{Permutation} &
             \textbf{Total} \\
         \midrule
         \texttt{release\_to\_obj}
             & 14s & 25s & 18s & 8min & 10s & \textbf{9min} \\
         \texttt{origin\_to\_snapshot}
             & 1min & 5min & 3min & 1h30 & 1min & \textbf{1h40} \\
         \texttt{dir\_to\_rev}
             & 56s & 22min & 6min & 41min & 2min & \textbf{1h13} \\
         \texttt{snapshot\_to\_obj}
             & 3min & 22min & 8min & 2h50 & 5min & \textbf{3h30} \\
         \texttt{rev\_to\_rev}
             & 11min & 56min & 24min & 31h52 & 20min & \textbf{33h42} \\
         \texttt{rev\_to\_dir}
             & 20min & 1h & 30min & 52h45 & 23min & \textbf{55h} \\
         \bottomrule
     \end{tabular}
 \end{center}
 
 \vspace{0.5cm}
 
 For the \mintinline{text}{dir_to_*} datasets we decided not use LLP algorithm
 because it would take too long, and instead used a BFS traversal order for the
 node re-ordering. This allows \textbf{much} faster computation and yields
 similar results (thanks to our graph topology).
 
 \vspace{0.5cm}
 
 \begin{center}
     \begin{tabular}{@{} l *5r @{}}
         \toprule
         \multicolumn{1}{c}{} &
             \textbf{MPH} &
             \textbf{BVGraph} &
             \textbf{BFS} &
             \textbf{Permutation} &
             \textbf{Total} \\
         \midrule
         \texttt{dir\_to\_dir}
             & 4h36 & 50h & 4h44 & 12h38 & \textbf{72h} \\
         \texttt{dir\_to\_file}
             & 3h07 & 101h & 17h18 & 20h38 & \textbf{142h} \\
         \bottomrule
     \end{tabular}
 \end{center}
 
 \section{Memory usage}
 
 Memory usage monitoring during the compression process:
 
 \begin{center}
     \begin{tabular}{@{} l c @{}}
         \toprule
         \multicolumn{1}{c}{} &
             \textbf{Maximum resident set size} \\
         \midrule
         \texttt{release\_to\_obj} & 11G \\
         \texttt{origin\_to\_snapshot} & 15G \\
         \texttt{dir\_to\_rev} & 22G \\
         \texttt{snapshot\_to\_obj} & 23G \\
         \texttt{rev\_to\_rev} & 86G \\
         \texttt{rev\_to\_dir} & 154G \\
         \texttt{dir\_to\_dir} & 345G \\
         \texttt{dir\_to\_file} & 764G \\
         \midrule
         Entire graph (estimated) & 1.4T \\
         \bottomrule
     \end{tabular}
 \end{center}
 
 \end{document}