diff --git a/benchmark.ipynb b/benchmark.ipynb
index b996217..e583772 100644
--- a/benchmark.ipynb
+++ b/benchmark.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {
     "is_executing": true
    },
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,12 +48,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x1000 with 1 Axes>"
       ]
@@ -110,12 +110,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -146,12 +146,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/benchmarking/c_benchmark.sh b/benchmarking/c_benchmark.sh
index ad8c0cf..30f28dd 100755
--- a/benchmarking/c_benchmark.sh
+++ b/benchmarking/c_benchmark.sh
@@ -6,6 +6,6 @@ cmake .. -DCMAKE_BUILD_TYPE=Release
 make -j
 hyperfine \
 --warmup 3 \
---parameter-list runs 100,1000,10000,100000,1000000 \
+--parameter-list runs 100,1000,10000,100000,1000000,10000000 \
 --export-csv ../../benchmarking/results/c_benchmark.csv \
 'mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv {runs}'
diff --git a/benchmarking/java_benchmark.sh b/benchmarking/java_benchmark.sh
index d49c1fc..99e9168 100755
--- a/benchmarking/java_benchmark.sh
+++ b/benchmarking/java_benchmark.sh
@@ -7,6 +7,6 @@ unzip app.zip
 cd app/bin
 hyperfine \
 --warmup 3 \
---parameter-list runs 100,1000,10000,100000,1000000 \
+--parameter-list runs 100,1000,10000,100000,1000000,10000000 \
 --export-csv ../../../../../../benchmarking/results/java_benchmark.csv \
 './app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv {runs}'
diff --git a/benchmarking/results/c_benchmark.csv b/benchmarking/results/c_benchmark.csv
index 3eee156..cf23495 100644
--- a/benchmarking/results/c_benchmark.csv
+++ b/benchmarking/results/c_benchmark.csv
@@ -1,6 +1,7 @@
 command,mean,stddev,median,user,system,min,max,parameter_runs
-mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100,0.11836311659538465,0.006307396726235077,0.11366992398000002,0.02257001846153846,0.035373020000000005,0.11176098498000002,0.13090719898000003,100
-mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000,0.12157086886,0.006396145576196889,0.11697818098000001,0.026339620000000008,0.0345376,0.11442566298000001,0.12986674798,1000
-mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 10000,0.14696139808000003,0.002425068551434887,0.14652012098,0.05571628000000001,0.03414767,0.14371441998,0.15234340498,10000
-mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100000,0.4475539825800001,0.0053118338369383305,0.44700802648000004,0.35708867999999994,0.03475082,0.44024811698000005,0.45963629798000005,100000
-mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000000,3.4253664825800003,0.044285980020405805,3.4219739569800005,3.3222758799999994,0.04188962,3.3741116999800003,3.51971645398,1000000
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100,0.11773809998923078,0.00628670485153728,0.11431381622,0.023011861538461534,0.03416575384615385,0.11068071222,0.12610818222000003,100
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000,0.12032870962000003,0.005815426467507439,0.11666411922,0.026647039999999997,0.03339934,0.11286703522000001,0.12834779822000003,1000
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 10000,0.14716381892000002,0.0020209012628705256,0.14732798672000003,0.056407299999999994,0.03339855,0.14377137722000002,0.15154863122,10000
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100000,0.44328807932,0.004042882235869445,0.44287313922000004,0.35302959999999994,0.034845600000000004,0.43846904422000005,0.44902812122,100000
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000000,3.4596030937199993,0.17793177794376802,3.39387859972,3.3615021999999994,0.037255800000000006,3.37457745122,3.95747922822,1000000
+mpirun -np 1 ./cism ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 10000000,33.30917093052,0.6520507443616336,33.196353667219995,33.1179059,0.0789543,32.657566413219996,34.98561432722,10000000
diff --git a/benchmarking/results/java_benchmark.csv b/benchmarking/results/java_benchmark.csv
index 2326b9c..e73a7fa 100644
--- a/benchmarking/results/java_benchmark.csv
+++ b/benchmarking/results/java_benchmark.csv
@@ -1,6 +1,7 @@
 command,mean,stddev,median,user,system,min,max,parameter_runs
-./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 100,0.07296599499,0.0013659012676925564,0.07265225564,0.11152738000000002,0.02203472,0.07111909414,0.07875855814,100
-./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 1000,0.09239642771142856,0.004227550761959489,0.09371482714000001,0.1853017371428571,0.028320105714285716,0.08221879714000001,0.09702121614,1000
-./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 10000,0.15114398982421054,0.0058836915381762275,0.14984909214,0.37953913263157885,0.04932394631578947,0.14324459314000001,0.16565648614,10000
-./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 100000,0.5975129386400001,0.008481542693733201,0.59536800264,0.83452158,0.06465572,0.59011711014,0.61843051614,100000
-./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 1000000,4.864078564240001,0.059710038482667156,4.83806027814,5.15190138,0.07305562,4.77931398314,4.95990873614,1000000
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 100,0.073183890345,0.0028979758640494393,0.07263663972,0.110945615,0.021705875000000003,0.07046871122000001,0.08604042722000001,100
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 1000,0.09144977099419357,0.0034682033441670607,0.09247079922000001,0.18218897548387097,0.02787811935483871,0.08207093522,0.09429660522000001,1000
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 10000,0.15275551902000004,0.008734393652298706,0.14975498222,0.3866482399999999,0.05466059999999999,0.14210125322,0.17599985422,10000
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 100000,0.5889916240199999,0.009985833221947803,0.58842931872,0.8101799399999999,0.0591101,0.5740548652199999,0.60508519722,100000
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 1000000,4.8675044415199995,0.07579982962335366,4.886516653219999,5.17305064,0.0796076,4.76287491422,5.01072905622,1000000
+./app ../../../../../../example-files/Wahlen.csv ../../../../../../example-files/Seminare.csv 10000000,47.309012637120006,0.7421430788778044,47.24184284572,47.64176264,0.13416919999999996,45.95832460422,48.46916709222,10000000
diff --git a/benchmarking/results/ts_benchmark.csv b/benchmarking/results/ts_benchmark.csv
index 3be73b9..e5d2105 100644
--- a/benchmarking/results/ts_benchmark.csv
+++ b/benchmarking/results/ts_benchmark.csv
@@ -1,6 +1,3 @@
 command,mean,stddev,median,user,system,min,max,parameter_runs
-./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100,0.14412785523000002,0.0037844781994098397,0.14341476478000004,0.15667491,0.04240525,0.14007016178,0.15691712478,100
-./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000,0.14885940648,0.0028000690581529565,0.14815134478000003,0.16943510999999997,0.043707499999999996,0.14605460178000002,0.16018067278,1000
-./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 10000,0.26295152896181817,0.005095993271642252,0.26490751678,0.26640132363636365,0.06527411818181818,0.25334487078,0.27052859277999997,10000
-./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100000,1.2391595657799999,0.02605949694797034,1.23000572728,1.19623926,0.1521121,1.21394542478,1.29693789578,100000
-./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000000,10.338016902879998,0.18749308967083542,10.33498168328,10.01261656,0.5904844999999999,9.993538560780001,10.582920036780001,1000000
+node --max_old_space_size=4096 ./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 100,0.14179003736761903,0.0012363978424685717,0.14189472332,0.15442108095238097,0.043135393333333334,0.13901398732,0.14347985632,100
+node --max_old_space_size=4096 ./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv 1000,0.14609197412,0.0015788794359187497,0.14592958132,0.16470615,0.04675666,0.14226519832,0.14920445331999999,1000
diff --git a/benchmarking/ts_benchmark.sh b/benchmarking/ts_benchmark.sh
index b4aea10..d76511c 100755
--- a/benchmarking/ts_benchmark.sh
+++ b/benchmarking/ts_benchmark.sh
@@ -9,6 +9,6 @@ cd cli
 yarn run build
 hyperfine \
 --warmup 3 \
---parameter-list runs 100,1000,10000,100000,1000000 \
+--parameter-list runs 100,1000,10000,100000,1000000,10000000 \
 --export-csv ../../benchmarking/results/ts_benchmark.csv \
-'./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv {runs}'
+'node --max_old_space_size=4096 ./bin/run run ../../example-files/Wahlen.csv ../../example-files/Seminare.csv {runs}'