2024-05-08 12:03:28 +02:00
68 changed files with 827 additions and 24 deletions
--- a/data/evaluate_cpu_gpu_exec.jl
+++ b/data/evaluate_cpu_gpu_exec.jl
@ -91,7 +91,7 @@ df_red = filter(:process_name => x -> match(r" reduced$", x) !== nothing, df_fil
 )

 plot!(
-    title = title_string,
+    #title = title_string,
    yscale = :log10,
    legend = :outerbottom,
    legendcolumns = 2,
@ -130,7 +130,7 @@ df_red = filter(:process_name => x -> match(r" reduced$", x) !== nothing, df_fil
 )

 plot!(
-    title = title_string,
+    #title = title_string,
    yscale = :log10,
    legend = :outerbottom,
    legendcolumns = 2,
--- a/data/evaluate_full_node_bench.jl
+++ b/data/evaluate_full_node_bench.jl
@ -57,7 +57,19 @@ cpus = df.cpu_threads[1]

 power = Int(round(log2(n_inputs)))

-chunk_sizes = ["1024", "4096", "16384", "65536", "262144", "1048576"]
+chunk_sizes = [
+    "\$2^{10}\$",
+    "\$2^{11}\$",
+    "\$2^{12}\$",
+    "\$2^{13}\$",
+    "\$2^{14}\$",
+    "\$2^{15}\$",
+    "\$2^{16}\$",
+    "\$2^{17}\$",
+    "\$2^{18}\$",
+    "\$2^{19}\$",
+    "\$2^{20}\$",
+]

 best_times = Vector{Float64}()
 best_times_std = Vector{Float64}()
@ -74,13 +86,13 @@ for process_name in processes
    bar(chunk_sizes, df_filt.cpu_ratio, label = "workload completed by \$$(cpus)\$ CPU threads (%)")
    bar!(
        chunk_sizes,
-        [100, 100, 100, 100, 100, 100],
+        [100 for _ in chunk_sizes],
        label = "workload completed by $(gpus) GPUs (%)",
        fillto = df_filt.cpu_ratio,
    )

    plot!(
-        title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+        #title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
        yscale = :linear,
        #xticks = [1024 4096 16384 65536 262144 1048576],
        ylim = (0, 105),
@ -99,9 +111,9 @@ for process_name in processes
        chunk_sizes,
        df_filt.rate,
        label = "total execution rate (\$s^{-1}\$)",
-        title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
-        ylim = (:auto, maximum(df_filt.rate) * 1.2),
-        yscale = :log10,
+        #title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+        ylim = (0, :auto),
+        #yscale = :log10,
        #xticks = [1024 4096 16384 65536 262144 1048576],
        legend = :outerbottom,
        legendcolumns = 1,
@ -120,7 +132,7 @@ for process_name in processes
        df_filt.time,
        yerror = df_filt.std,
        label = "total execution time (s)",
-        title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+        #title = "$(beautify_title(process_name))\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
        #xticks = [1024 4096 16384 65536 262144 1048576],
        ylim = (0, maximum(df_filt.time) * 1.05),
        legend = :outerbottom,
@ -148,7 +160,7 @@ scatter(
    proc_to_n.(processes),
    best_times,
    label = "full node best achieved time (s)",
-    title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+    #title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
    ylim = (0, maximum(best_times) * 1.05),
    legend = :outerbottom,
    legendcolumns = 1,
@ -166,7 +178,7 @@ scatter(
    proc_to_n.(processes),
    (n_inputs ./ best_times),
    label = "full node best achieved rate (\$s^{-1}\$)",
-    title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+    #title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
    ylim = (0, maximum(n_inputs ./ best_times) * 1.05),
    legend = :outerbottom,
    legendcolumns = 1,
@ -185,7 +197,7 @@ scatter(
    proc_to_n.(processes),
    [(n_inputs ./ best_times) theory_rates],
    label = ["full node best achieved rate (\$s^{-1}\$)" "theoretical rate from previous benchmarks (\$s^{-1}\$)"],
-    title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
+    #title = "QED N-Photon Compton Scattering\nComputing $(n_inputs) (\$2^{$(power)}\$) Matrix Elements",
    #ylim = (0, max(maximum(n_inputs ./ best_times), maximum(theory_rates)) * 1.05),
    yscale = :log10,
    legend = :outerbottom,
--- a/data/evaluate_reduce_bench.jl
+++ b/data/evaluate_reduce_bench.jl
@ -121,9 +121,13 @@ for process in processes
    end
 end

+
 # ABC vs QED
 AB_process = "AB->ABBB"
+abc_label = "\$A + B \\rightarrow A + 3B\$"
+
 QED_process = "ke->kkkke"
+qed_label = "\$e^- + \\gamma \\rightarrow e^- + 4\\gamma\$"

 df_filt_AB = filter(:process => x -> x == AB_process, df)
 df_filt_QED = filter(:process => x -> x == QED_process, df)
@ -137,11 +141,11 @@ df_filt_QED.reduction_progress = df_filt_QED.operations ./ max_QED .* 100.0
 df_filt_AB.relative_performance = df_filt_AB.cpu_st_t ./ df_filt_AB[!, :cpu_st_t][1] .* 100.0
 df_filt_QED.relative_performance = df_filt_QED.cpu_st_t ./ df_filt_QED[!, :cpu_st_t][1] .* 100.0

-@df df_filt_AB scatter(:reduction_progress, :relative_performance, label = AB_process, markersize = 4)
-@df df_filt_QED scatter!(:reduction_progress, :relative_performance, label = QED_process, markersize = 4)
+@df df_filt_AB scatter(:reduction_progress, :relative_performance, label = abc_label, markersize = 4)
+@df df_filt_QED scatter!(:reduction_progress, :relative_performance, label = qed_label, markersize = 4)

 plot!(
-    title = ("Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on CPU"),
+    #title = ("Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on CPU"),
    xscale = :linear,
    yscale = :linear,
    #ylim = (0, ymax),
@ -164,7 +168,10 @@ savefig("reduction_bench_relative.pdf")

 # ABC vs QED on GPU
 AB_process = "AB->ABBB"
-QED_process = "ke->kkke"
+abc_label = "\$A + B \\rightarrow A + 3B\$"
+
+QED_process = "ke->kkkke"
+qed_label = "\$e^- + \\gamma \\rightarrow e^- + 4\\gamma\$"

 df_filt_AB = filter(:process => x -> x == AB_process, df_gpu)
 df_filt_QED = filter(:process => x -> x == QED_process, df_gpu)
@ -178,13 +185,26 @@ df_filt_QED.reduction_progress = df_filt_QED.operations ./ max_QED .* 100.0
 df_filt_AB.relative_performance = df_filt_AB.gpu_t ./ df_filt_AB[!, :gpu_t][1] .* 100.0
 df_filt_QED.relative_performance = df_filt_QED.gpu_t ./ df_filt_QED[!, :gpu_t][1] .* 100.0

-@df df_filt_AB scatter(:reduction_progress, :relative_performance, label = AB_process, markersize = 4)
-@df df_filt_QED scatter!(:reduction_progress, :relative_performance, label = QED_process, markersize = 4)
+df_filt_AB.relative_std = df_filt_AB.gpu_s ./ df_filt_AB[!, :gpu_t][1] .* 100.0
+df_filt_QED.relative_std = df_filt_QED.gpu_s ./ df_filt_QED[!, :gpu_t][1] .* 100.0
+
+@df df_filt_AB scatter(
+    :reduction_progress,
+    :relative_performance,
+    yerror = :relative_std,
+    label = abc_label,
+    markersize = 4,
+)
+@df df_filt_QED scatter!(
+    :reduction_progress,
+    :relative_performance,
+    yerror = :relative_std,
+    label = qed_label,
+    markersize = 4,
+)

 plot!(
-    title = (
-        "Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on GPU (A100)"
-    ),
+    #title = "Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on GPU (A100)",
    xscale = :linear,
    yscale = :linear,
    #ylim = (0, ymax),
@ -206,6 +226,7 @@ savefig("reduction_bench_relative_gpu.pdf")
 =#

 QED_process = "ke->kkke"
+QED_label = "\$\\e^- + \\gamma \\rightarrow \\e^- + 3\\gamma\$"

 df_filt_QED_GPU = filter(:process => x -> x == QED_process, df_gpu)
 df_filt_QED_CPU = filter(:process => x -> x == QED_process, df)
@ -237,7 +258,7 @@ df_filt_QED_CPU.relative_std = df_filt_QED_CPU.cpu_st_s ./ df_filt_QED_CPU[!, :c
 )

 plot!(
-    title = ("Relative Performance of $(beautify_title(QED_process)) on CPU versus GPU"),
+    #title = "Relative Performance of $(beautify_title(QED_process)) on CPU versus GPU",
    xscale = :linear,
    yscale = :linear,
    ylim = (0, :auto),
@ -250,10 +271,9 @@ plot!(
    legendcolumns = 1,
    legend_font_pointsize = 12,
    fontsize = 12,
-    #size = (800, 600),
+    size = (800, 600),
    xlabel = "reduction progress (%)",
    ylabel = "relative time taken (%)",
 )

 savefig("reduction_bench_relative_cpu_vs_gpu.pdf")
-
--- a/data/full_node_bench_2.csv
+++ b/data/full_node_bench_2.csv
@ -0,0 +1,56 @@
+process_name,cpu_threads,gpu_devices,n_inputs,chunk_size,time,std,rate,cpu_chunks,gpu_chunks,memory_est
+QED Process: 'ke->ke',124,4,1073741824,1024,44.484234157,NaN,2.4137581422901418e7,626471.5,422104.5,2.2437844408e11
+QED Process: 'ke->ke',124,4,1073741824,2048,34.569488516,NaN,3.1060390827102743e7,256023.0,268265.0,2.13191199856e11
+QED Process: 'ke->ke',124,4,1073741824,4096,31.327507643,NaN,3.4274728658151746e7,112312.0,149832.0,2.02605386624e11
+QED Process: 'ke->ke',124,4,1073741824,8192,27.510891076,NaN,3.902969994805849e7,50464.5,80607.5,1.97429278448e11
+QED Process: 'ke->ke',124,4,1073741824,16384,27.749147113,NaN,3.869458832833714e7,25016.5,40519.5,2.00194905568e11
+QED Process: 'ke->ke',124,4,1073741824,32768,29.709230586,NaN,3.614169074126018e7,13428.0,19340.0,2.03538195584e11
+QED Process: 'ke->ke',124,4,1073741824,65536,27.950572112,NaN,3.841573688357567e7,6263.5,10120.5,1.9997984904e11
+QED Process: 'ke->ke',124,4,1073741824,131072,28.100059237,NaN,3.8211372258823544e7,3204.0,4988.0,1.98255285664e11
+QED Process: 'ke->ke',124,4,1073741824,262144,29.356110043,NaN,3.657643408568823e7,1493.0,2603.0,1.98515889872e11
+QED Process: 'ke->ke',124,4,1073741824,524288,30.393124141,NaN,3.5328445309494644e7,749.5,1298.5,1.97486500176e11
+QED Process: 'ke->ke',124,4,1073741824,1048576,27.146582647,NaN,3.9553480375868246e7,373.0,651.0,1.98425098112e11
+QED Process: 'ke->kke',124,4,1073741824,1024,48.948412253,NaN,2.1936193117973737e7,547497.5,501078.5,2.48833051728e11
+QED Process: 'ke->kke',124,4,1073741824,2048,36.780949295,NaN,2.9192879590684313e7,212473.5,311814.5,2.38200799744e11
+QED Process: 'ke->kke',124,4,1073741824,4096,32.408359025,NaN,3.313163197098962e7,93792.5,168351.5,2.30682165792e11
+QED Process: 'ke->kke',124,4,1073741824,8192,29.402123366,NaN,3.651919321043502e7,42924.0,88148.0,2.2935231024e11
+QED Process: 'ke->kke',124,4,1073741824,16384,26.524112648,NaN,4.0481724619766444e7,19870.5,45665.5,2.26778892464e11
+QED Process: 'ke->kke',124,4,1073741824,32768,26.688054738,NaN,4.0233049375125274e7,8991.5,23776.5,2.21652108544e11
+QED Process: 'ke->kke',124,4,1073741824,65536,27.972286417,NaN,3.838591554487442e7,4870.5,11513.5,2.26097977632e11
+QED Process: 'ke->kke',124,4,1073741824,131072,26.709358286,NaN,4.020095924816035e7,2476.5,5715.5,2.25143430992e11
+QED Process: 'ke->kke',124,4,1073741824,262144,28.131102594,NaN,3.816920507868807e7,1259.0,2837.0,2.280901208e11
+QED Process: 'ke->kke',124,4,1073741824,524288,28.948685319,NaN,3.709121199004043e7,621.5,1426.5,2.25563283776e11
+QED Process: 'ke->kke',124,4,1073741824,1048576,29.224984231,NaN,3.6740544169773854e7,367.0,657.0,2.32671072549e11
+QED Process: 'ke->kkke',124,4,1073741824,1024,51.103863163,NaN,2.1010971725859776e7,344309.0,704267.0,2.63995342528e11
+QED Process: 'ke->kkke',124,4,1073741824,2048,40.775447059,NaN,2.6333048475136276e7,105015.0,419273.0,2.46615255312e11
+QED Process: 'ke->kkke',124,4,1073741824,4096,25.91215653,NaN,4.143776388340612e7,42623.0,219521.0,2.42726102512e11
+QED Process: 'ke->kkke',124,4,1073741824,8192,25.032970095,NaN,4.289310536964472e7,19017.5,112054.5,2.4197204072e11
+QED Process: 'ke->kkke',124,4,1073741824,16384,21.0100712085,1.115362894945752,5.11060535371055e7,8795.0,56741.0,2.365611564e11
+QED Process: 'ke->kkke',124,4,1073741824,32768,21.907500996,1.663667657133735,4.9012519693416886e7,4540.0,28228.0,2.37506023296e11
+QED Process: 'ke->kkke',124,4,1073741824,65536,25.099602876,3.204277631446233,4.277923556418902e7,2473.0,13911.0,2.40620671904e11
+QED Process: 'ke->kkke',124,4,1073741824,131072,24.070877306,NaN,4.46075068370007e7,1274.5,6917.5,2.41550848048e11
+QED Process: 'ke->kkke',124,4,1073741824,262144,27.306908367,NaN,3.932125195460067e7,627.0,3469.0,2.44746382896e11
+QED Process: 'ke->kkke',124,4,1073741824,524288,26.592041393,0.9455095620467788,4.037831500528005e7,372.0,1676.0,2.44714787264e11
+QED Process: 'ke->kkke',124,4,1073741824,1048576,33.387057929,NaN,3.216042055228076e7,232.5,791.5,2.52464653136e11
+QED Process: 'ke->kkkke',124,4,1073741824,1024,92.110352079,NaN,1.165712430541018e7,196950.5,851625.5,2.80485888e11
+QED Process: 'ke->kkkke',124,4,1073741824,2048,63.879282982,NaN,1.6808921044128824e7,65302.0,458986.0,2.72850083024e11
+QED Process: 'ke->kkkke',124,4,1073741824,4096,63.484438301,NaN,1.6913464980331827e7,23273.0,238871.0,2.68735074752e11
+QED Process: 'ke->kkkke',124,4,1073741824,8192,37.514079674,NaN,2.8622368810081232e7,7588.0,123484.0,2.65365413824e11
+QED Process: 'ke->kkkke',124,4,1073741824,16384,23.067661385,0.1262117015060212,4.654749374369664e7,2910.0,62626.0,2.63016813056e11
+QED Process: 'ke->kkkke',124,4,1073741824,32768,23.0845812495,0.3024098908246592,4.651337671647202e7,1368.0,31400.0,2.62744928496e11
+QED Process: 'ke->kkkke',124,4,1073741824,65536,23.1498175125,0.10472297037760155,4.638230186567221e7,744.0,15640.0,2.6317943264e11
+QED Process: 'ke->kkkke',124,4,1073741824,131072,23.317622178,NaN,4.6048512828768075e7,372.0,7820.0,2.63169283856e11
+QED Process: 'ke->kkkke',124,4,1073741824,262144,30.285781129,NaN,3.5453661222290345e7,248.0,3848.0,2.6498444184e11
+QED Process: 'ke->kkkke',124,4,1073741824,524288,29.98080238,NaN,3.581431245203385e7,124.0,1924.0,2.6498194248e11
+QED Process: 'ke->kkkke',124,4,1073741824,1048576,55.195892438,NaN,1.9453292202967893e7,124.0,900.0,2.72261925248e11
+QED Process: 'ke->kkkkke',124,4,1073741824,1024,820.771117268,NaN,1.3082110242548892e6,333067.0,715509.0,3.3108241512e11
+QED Process: 'ke->kkkkke',124,4,1073741824,2048,509.450154722,NaN,2.1076484402795527e6,99300.5,424987.5,3.13948899008e11
+QED Process: 'ke->kkkkke',124,4,1073741824,4096,330.020879477,NaN,3.253557246746359e6,29570.0,232574.0,3.07618847856e11
+QED Process: 'ke->kkkkke',124,4,1073741824,8192,166.158197441,NaN,6.462165818699784e6,7813.5,123258.5,2.99280834352e11
+QED Process: 'ke->kkkkke',124,4,1073741824,16384,106.053895383,NaN,1.0124492081335811e7,2606.5,62929.5,2.96524518272e11
+QED Process: 'ke->kkkkke',124,4,1073741824,32768,110.777025548,NaN,9.692820498549536e6,1301.0,31467.0,2.97100273488e11
+QED Process: 'ke->kkkkke',124,4,1073741824,65536,96.58002663,NaN,1.111763851664202e7,620.0,15764.0,2.95735543664e11
+QED Process: 'ke->kkkkke',124,4,1073741824,131072,81.868481756,NaN,1.3115448106148707e7,248.0,7944.0,2.95709821984e11
+QED Process: 'ke->kkkkke',124,4,1073741824,262144,81.209098572,NaN,1.3221939941224938e7,124.0,3972.0,2.95704189376e11
+QED Process: 'ke->kkkkke',124,4,1073741824,524288,157.682004152,NaN,6.809539425722608e6,124.0,1924.0,2.99341960976e11
+QED Process: 'ke->kkkkke',124,4,1073741824,1048576,306.964123328,NaN,3.49793914793318e6,124.0,900.0,3.06621806112e11
--- a/data/full_node_bench_ae99be7.csv
+++ b/data/full_node_bench_ae99be7.csv
@ -0,0 +1,56 @@
+process_name,cpu_threads,gpu_devices,n_inputs,chunk_size,time,std,rate,cpu_chunks,gpu_chunks,memory_est
+QED Process: 'ke->ke',124,4,67108864,1024,3.458598678,0.19810835000242946,1.9403483967907768e7,44739.5,20796.5,1.4367607056e10
+QED Process: 'ke->ke',124,4,67108864,2048,2.831046148,0.3580139926947082,2.370461677122757e7,18468.0,14300.0,1.3315868752e10
+QED Process: 'ke->ke',124,4,67108864,4096,2.2813822525,0.22646367077322635,2.9415878871881425e7,8176.0,8208.0,1.297707952e10
+QED Process: 'ke->ke',124,4,67108864,8192,2.1962915955,0.17067866821231642,3.05555346737655e7,3875.0,4317.0,1.2854148336e10
+QED Process: 'ke->ke',124,4,67108864,16384,2.089146187,0.16378529567996666,3.212262713715017e7,1956.0,2140.0,1.2997532832e10
+QED Process: 'ke->ke',124,4,67108864,32768,2.0385521255,0.15070415801687786,3.291986658596727e7,892.0,1156.0,1.281430344e10
+QED Process: 'ke->ke',124,4,67108864,65536,1.974047067,0.09461485405631197,3.399557443277516e7,453.5,570.5,1.24538592e10
+QED Process: 'ke->ke',124,4,67108864,131072,1.766276283,0.07310701084701206,3.799454516029415e7,247.5,264.5,1.2952500832e10
+QED Process: 'ke->ke',124,4,67108864,262144,1.569539716,0.10536394498062435,4.275703463626148e7,124.0,132.0,1.330460704e10
+QED Process: 'ke->ke',124,4,67108864,524288,1.324412421,0.03750893709887139,5.067066945002625e7,123.5,4.5,1.6768943232e10
+QED Process: 'ke->ke',124,4,67108864,1048576,3.4521373585,0.07650278742109587,1.9439801210331824e7,60.0,4.0,1.671021224e10
+QED Process: 'ke->kke',124,4,67108864,1024,4.124126053,0.7916404881959074,1.6272263053449398e7,43329.5,22206.5,1.5876637456e10
+QED Process: 'ke->kke',124,4,67108864,2048,2.95552632,0.3329878739226931,2.270623122043454e7,17783.0,14985.0,1.4594837216e10
+QED Process: 'ke->kke',124,4,67108864,4096,2.896353484,1.632880605113277,2.317012214521534e7,7137.0,9247.0,1.4722224608e10
+QED Process: 'ke->kke',124,4,67108864,8192,2.762445995,0.42002630296255344,2.4293276365028087e7,3279.0,4913.0,1.413568152e10
+QED Process: 'ke->kke',124,4,67108864,16384,2.544654412,0.2458036623726832,2.637248644984174e7,1614.0,2482.0,1.4195045088e10
+QED Process: 'ke->kke',124,4,67108864,32768,2.3577427935,0.39964082821557095,2.8463182746231135e7,748.0,1300.0,1.4070235776e10
+QED Process: 'ke->kke',124,4,67108864,65536,2.065864896,0.2784903943851784,3.2484633496574987e7,372.0,652.0,1.4469234704e10
+QED Process: 'ke->kke',124,4,67108864,131072,1.9581825915,0.061939484903173456,3.427099407956309e7,229.0,283.0,1.4380718496e10
+QED Process: 'ke->kke',124,4,67108864,262144,1.956834571,0.1899986262742417,3.4294602617177494e7,124.0,132.0,1.5452074672e10
+QED Process: 'ke->kke',124,4,67108864,524288,1.8845080935,0.04871070426256573,3.561081230240946e7,124.0,4.0,1.9033865344e10
+QED Process: 'ke->kke',124,4,67108864,1048576,3.154780609,0.160801706388051,2.127211756296173e7,60.0,4.0,1.8857695008e10
+QED Process: 'ke->kkke',124,4,67108864,1024,4.604807301,3.32405556154536,1.4573653057192283e7,26173.0,39363.0,1.6300700624e10
+QED Process: 'ke->kkke',124,4,67108864,2048,3.99110744,2.2671355176279286,1.6814597203627273e7,10021.0,22747.0,1.5389761376e10
+QED Process: 'ke->kkke',124,4,67108864,4096,2.968926361,1.3218390967099625,2.260374823759396e7,3920.5,12463.5,1.5357774192e10
+QED Process: 'ke->kkke',124,4,67108864,8192,1.832908658,0.2661768732210716,3.661331605756428e7,1604.5,6587.5,1.5012129696e10
+QED Process: 'ke->kkke',124,4,67108864,16384,2.021491913,0.3177004425788266,3.319769105601166e7,726.5,3369.5,1.4919441088e10
+QED Process: 'ke->kkke',124,4,67108864,32768,1.773052055,0.3409839853774609,3.7849347857979275e7,372.0,1676.0,1.5219786048e10
+QED Process: 'ke->kkke',124,4,67108864,65536,2.065048021,0.11008217169985018,3.249748350525162e7,242.0,782.0,1.5259025616e10
+QED Process: 'ke->kkke',124,4,67108864,131072,2.071075685,0.09651088965483497,3.2402902745681167e7,124.0,388.0,1.5779568144e10
+QED Process: 'ke->kkke',124,4,67108864,262144,3.207865162,0.07390130434998933,2.0920101254555162e7,124.0,132.0,1.7599574368e10
+QED Process: 'ke->kkke',124,4,67108864,524288,5.517250787,0.03630009366252768,1.2163460859550737e7,124.0,4.0,2.1181349504e10
+QED Process: 'ke->kkke',124,4,67108864,1048576,9.9193924445,0.12605872236871488,6.765420803288191e6,60.0,4.0,2.10051832e10
+QED Process: 'ke->kkkke',124,4,67108864,1024,11.5728427965,2.437240604038276,5.798822742178428e6,19558.5,45977.5,1.794307008e10
+QED Process: 'ke->kkkke',124,4,67108864,2048,6.030976978,1.8162802087582872,1.1127361992062308e7,4665.0,28103.0,1.7035265984e10
+QED Process: 'ke->kkkke',124,4,67108864,4096,6.0994879085,0.737142171994354,1.1002376757970091e7,2327.5,14056.5,1.7096154672e10
+QED Process: 'ke->kkkke',124,4,67108864,8192,3.6155714895,0.9929455353250803,1.8561066817484096e7,792.0,7400.0,1.6684904256e10
+QED Process: 'ke->kkkke',124,4,67108864,16384,2.3329065795,0.30999818411389524,2.876620289458102e7,249.0,3847.0,1.6566215744e10
+QED Process: 'ke->kkkke',124,4,67108864,32768,2.14924518,0.5758031011177595,3.1224387345142264e7,124.0,1924.0,1.6563737552e10
+QED Process: 'ke->kkkke',124,4,67108864,65536,3.5678712205,0.06731244791668194,1.8809216995952953e7,124.0,900.0,1.7017535504e10
+QED Process: 'ke->kkkke',124,4,67108864,131072,6.7198653775,0.06188064013357223,9.986638158660047e6,124.0,388.0,1.7927048128e10
+QED Process: 'ke->kkkke',124,4,67108864,262144,13.1149481595,0.09783121634687465,5.116975163290198e6,124.0,132.0,1.9747055952e10
+QED Process: 'ke->kkkke',124,4,67108864,524288,25.620840398,0.16826307591103548,2.619307679120417e6,123.0,5.0,2.3328833088e10
+QED Process: 'ke->kkkke',124,4,67108864,1048576,46.274012829,0.08001633488093102,1.450249500686112e6,60.0,4.0,2.3152675456e10
+QED Process: 'ke->kkkkke',124,4,67108864,1024,54.014004942,NaN,1.2424345143830976e6,21250.5,44285.5,2.0732839456e10
+QED Process: 'ke->kkkkke',124,4,67108864,2048,36.8675499035,2.7743098181128305,1.820269157447565e6,6554.0,26214.0,1.9711989232e10
+QED Process: 'ke->kkkkke',124,4,67108864,4096,24.334536493,1.8839286877764918,2.75776216322445e6,2109.5,14274.5,1.9182354304e10
+QED Process: 'ke->kkkkke',124,4,67108864,8192,13.779539651,0.110200707299162,4.870181856556421e6,620.0,7572.0,1.8832350992e10
+QED Process: 'ke->kkkkke',124,4,67108864,16384,10.570179724,0.1572433633404586,6.348885804432136e6,248.0,3848.0,1.871376448e10
+QED Process: 'ke->kkkkke',124,4,67108864,32768,10.4007533115,0.10348104579921066,6.452308019439174e6,124.0,1924.0,1.8711319888e10
+QED Process: 'ke->kkkkke',124,4,67108864,65536,19.448952584,0.18356392337429778,3.450513014012292e6,124.0,900.0,1.9165068592e10
+QED Process: 'ke->kkkkke',124,4,67108864,131072,38.253423874,0.0077214575581330495,1.7543230697739555e6,124.0,388.0,2.007454592e10
+QED Process: 'ke->kkkkke',124,4,67108864,262144,76.838004633,NaN,873381.1389367915,124.0,132.0,2.1894553936e10
+QED Process: 'ke->kkkkke',124,4,67108864,524288,150.862106686,NaN,444835.78729069745,124.0,4.0,2.5535037472e10
+QED Process: 'ke->kkkkke',124,4,67108864,1048576,269.992101952,NaN,248558.61899223563,60.0,4.0,2.5535020928e10
--- a/data/gpu_a100_kernel_reduce_bench_larger_ae99be7.csv
+++ b/data/gpu_a100_kernel_reduce_bench_larger_ae99be7.csv
@ -94,3 +94,631 @@ threads,process,operations,cumulative_optimization_time,graph_nodes,graph_edges,
 32,ke->kkke,72,0.00018730700000000006,188,273,61123.5,22464.0,2.7209535256410255,8.053600242,NaN,0.3580050635,0.06918464677281444,NaN,0.0053048385,1.4442675256567486e-5,528.0
 32,ke->kkkke,0,0.0,2183,3015,781385.25,184992.0,4.223886708614427,106.157851753,NaN,3.86278694,0.15026686750436932,NaN,0.040828358,0.00014057528450513626,528.0
 32,ke->kkkke,5,0.001632175,2068,2808,697297.25,182784.0,3.8148702840511204,96.890818334,NaN,3.598310091,0.04465948402730547,NaN,0.037846689,0.0004016827771467181,528.0
+32,ke->kkkke,10,0.00381582,1953,2624,634231.25,178368.0,3.5557457055077144,89.808769667,NaN,3.4340184415,0.1588316368732014,NaN,0.035714861,0.000214073255513543,528.0
+32,ke->kkkke,15,0.005643501,1838,2463,592187.25,171744.0,3.4480811556735604,82.064866398,NaN,2.978142805,0.0004201967905065435,NaN,0.033993487,2.3551541948812326e-5,528.0
+32,ke->kkkke,20,0.007305724,1723,2348,570337.25,165120.0,3.4540773376937985,81.157805026,NaN,2.8468040645,0.0054315862924623134,NaN,0.035559019,1.9666671151129434e-5,528.0
+32,ke->kkkke,25,0.007958712,1698,2313,558822.25,164160.0,3.404131639863548,80.773673375,NaN,2.872243291,0.02723311034818054,NaN,0.036274857,0.00035730750178490043,528.0
+32,ke->kkkke,30,0.008791516,1677,2286,550963.25,163200.0,3.376000306372549,79.650698755,NaN,2.8024443775,0.02531281268433764,NaN,0.035406716,3.887466392094813e-5,528.0
+32,ke->kkkke,35,0.009353054,1672,2280,549574.25,162912.0,3.373442410626596,77.027249647,NaN,2.8411105645,0.032838462475265194,NaN,0.0354131105,3.746704002586807e-5,528.0
+32,ke->kkkke,40,0.011119241,1615,2213,539959.25,158496.0,3.4067689405410864,74.596025412,NaN,2.833533823,0.0007577709820585637,NaN,0.036277995,2.3556249526753334e-5,528.0
+32,ke->kkkke,45,0.011903765,1594,2177,526249.25,157920.0,3.3323787360688955,74.84211229,NaN,2.680782475,0.00012309173425539182,NaN,0.036338464,3.324901386006308e-5,528.0
+32,ke->kkkke,50,0.012803514,1573,2155,522960.25,156480.0,3.342026137525562,74.437956338,NaN,2.7618662935,0.02519202187554823,NaN,0.036842618,8.30919171297666e-5,528.0
+32,ke->kkkke,55,0.013394147,1568,2148,521132.25,156192.0,3.3364849031960664,75.149837289,NaN,2.680151417,0.0005090419291355084,NaN,0.036478268,3.1423971631542693e-5,528.0
+32,ke->kkkke,60,0.013871337000000001,1563,2143,519707.25,156000.0,3.3314567307692307,73.104093176,NaN,2.5539284295,0.00022934654894395077,NaN,0.036302971,0.0001123664762275653,528.0
+32,ke->kkkke,65,0.014350071,1558,2136,517404.25,155808.0,3.320781025364551,74.776610746,NaN,2.5511667895,0.004371978295572897,NaN,0.037874413,3.45873971917518e-5,528.0
+32,ke->kkkke,70,0.014909085,1541,2119,514554.25,154752.0,3.325024878515302,72.259322632,NaN,2.564107734,0.0319004266401584,NaN,0.036854431,1.8691688880355355e-5,528.0
+32,ke->kkkke,75,0.015332245000000001,1536,2112,512251.25,154560.0,3.314254981884058,71.828305233,NaN,2.528372269,0.012017117111705701,NaN,0.037499894,7.995461110967899e-5,528.0
+32,ke->kkkke,80,0.015836806000000002,1531,2106,510387.25,154368.0,3.306302148113599,73.691123372,NaN,2.6591250335,0.0002709668540845909,NaN,0.037447463,3.097877485795718e-5,528.0
+32,ke->kkkke,85,0.016889511000000003,1518,2092,507098.25,153696.0,3.2993587991880076,71.25956378,NaN,2.5102972765,0.006012607449281926,NaN,0.036561598,1.960317070016991e-5,528.0
+32,ke->kkkke,90,0.017375559000000002,1513,2085,504795.25,153504.0,3.2884827105482595,70.709650927,NaN,2.48224183,0.00044114695021953853,NaN,0.03922229,0.0006790390795644238,528.0
+32,ke->kkkke,95,0.018065988,1508,2080,503845.25,153216.0,3.2884636722013365,75.545009266,NaN,2.4849302935,0.0016717439734015792,NaN,0.039012169,0.0002919484232971639,528.0
+32,ke->kkkke,100,0.018745817,1503,2074,502931.25,152832.0,3.2907457207914574,74.047938162,NaN,2.6921682725,0.0012899925785881483,NaN,0.034932978,3.354287235315426e-5,528.0
+32,ke->kkkke,105,0.019299621000000003,1486,2057,500081.25,151776.0,3.294863812460468,72.249949079,NaN,2.5448688745,0.003033224340460906,NaN,0.035665007,1.0913407478876615e-5,528.0
+32,ke->kkkke,110,0.019837775000000002,1481,2050,497778.25,151584.0,3.2838442711631837,72.933286291,NaN,2.54230018,0.05301294372696812,NaN,0.036880858,0.00019957966402592221,528.0
+32,ke->kkkke,115,0.020430100000000003,1476,2044,495914.25,151392.0,3.2756965361445785,70.928256604,NaN,2.5514226305,0.056423883296735436,NaN,0.036515381,0.000219162541238917,528.0
+32,ke->kkkke,120,0.021015533000000003,1471,2038,494525.25,151104.0,3.2727475778271917,68.487855977,NaN,2.5591101735,0.07169943048053537,NaN,0.037177243,2.0332319181539524e-5,528.0
+32,ke->kkkke,125,0.022293548000000003,1378,1922,462578.25,146592.0,3.155549074983628,63.277336432,NaN,2.407942926,0.1695488406981789,NaN,0.03760789,0.00015278290194095675,528.0
+32,ke->kkkke,130,0.022916601,1353,1882,448868.25,145632.0,3.082208923862887,60.946548675,NaN,2.4392743915,0.25222301814264236,NaN,0.036108653,3.055953440090343e-5,528.0
+32,ke->kkkke,135,0.023563940000000002,1332,1860,443204.25,144672.0,3.063510907431984,62.413171515,NaN,2.267709464,0.003988390544448725,NaN,0.036869037,3.121447246871233e-5,528.0
+32,ke->kkkke,140,0.024369614,1319,1846,439440.25,144096.0,3.0496353125693982,60.972906526,NaN,2.305503133,0.1087169901991353,NaN,0.036977435,0.00011660123946167983,528.0
+32,ke->kkkke,145,0.025058329,1314,1840,438051.25,143808.0,3.0460840147975077,61.385887794,NaN,2.190749464,0.014995142575506843,NaN,0.036327657,0.00011456727270996721,528.0
+32,ke->kkkke,150,0.025725965,1309,1834,436187.25,143616.0,3.0371772643716577,61.396418162,NaN,2.3656741865,0.2036991799998032,NaN,0.036192396,1.700151774695424e-5,528.0
+32,ke->kkkke,155,0.026348307,1288,1808,429242.25,142560.0,3.0109585437710438,58.450633102,NaN,2.1475681915,0.019024019932925965,NaN,0.034536775,3.1643334253836146e-5,528.0
+32,ke->kkkke,160,0.026991136000000002,1279,1796,426500.25,141984.0,3.0038613505747125,57.804391437,NaN,2.078487736,0.01776486569527893,NaN,0.034364152,1.835668090914041e-5,528.0
+32,ke->kkkke,165,0.027654443,1274,1790,425111.25,141696.0,3.000164083672087,57.937310694,NaN,2.074045082,0.026553623157867138,NaN,0.03490412,2.521813200258893e-5,528.0
+32,ke->kkkke,170,0.028146141,1269,1784,423722.25,141408.0,2.9964517566191446,57.760225544,NaN,2.1882068275,0.0008416416244818813,NaN,0.033277906,2.0593309573742635e-5,528.0
+32,ke->kkkke,175,0.028400415999999998,1264,1779,422297.25,141216.0,2.9904348657375937,57.117046786,NaN,2.096618316,0.022025365071263858,NaN,0.032815643,2.4438099543540615e-5,528.0
+32,ke->kkkke,180,0.028863871,1259,1773,420908.25,140928.0,2.986690011920981,57.02912042,NaN,2.0470615075,8.163901342189284e-5,NaN,0.032408772,4.285737545044027e-5,528.0
+32,ke->kkkke,185,0.029426992,1254,1766,418605.25,140736.0,2.974400650864029,56.387404979,NaN,2.0227424595,0.001568482341717783,NaN,0.0330157995,2.161758853726906e-5,528.0
+32,ke->kkkke,190,0.029919822,1241,1753,415755.25,140064.0,2.9683234092986064,56.944235271,NaN,2.2157803875,0.007050265437469748,NaN,0.033609353,9.968220513210971e-6,528.0
+32,ke->kkkke,195,0.030913256,1232,1742,413452.25,139488.0,2.9640703859830237,57.788624879,NaN,2.0050715405,0.0003677810861375283,NaN,0.032588259,3.1357818144762555e-5,528.0
+32,ke->kkkke,200,0.031407318000000004,1227,1736,412063.25,139200.0,2.9602244971264366,57.260954231,NaN,2.057562497,0.0010485318762689098,NaN,0.032175829,2.685457943256606e-5,528.0
+32,ke->kkkke,205,0.03204801400000001,1178,1687,400663.25,136800.0,2.928824926900585,56.094017178,NaN,1.985341965,0.05058867762514472,NaN,0.032390741,6.059518735015183e-6,528.0
+32,ke->kkkke,210,0.032731209000000004,1157,1660,392804.25,135840.0,2.8916685070671377,54.759966375,NaN,1.90426768,0.001929019825988836,NaN,0.032727799,1.655745576771987e-5,528.0
+32,ke->kkkke,215,0.033132738,1152,1654,391415.25,135552.0,2.8875652885977336,55.700251545,NaN,2.003612499,0.00013732155111998988,NaN,0.032438548,8.830735569588753e-6,528.0
+32,ke->kkkke,220,0.033660935,1135,1631,383081.25,135072.0,2.836126288201848,54.002335888,NaN,1.9022793245,0.0004098256553468804,NaN,0.030287915,2.440309683216456e-5,528.0
+32,ke->kkkke,225,0.034309345000000005,1114,1600,371566.25,134496.0,2.7626565102307876,50.789741468,NaN,1.8110646715,0.007252847287639007,NaN,0.030435269,1.7533532695951494e-5,528.0
+32,ke->kkkke,230,0.03492491400000001,1105,1589,369263.25,133920.0,2.757342069892473,53.37742887,NaN,1.813007197,0.02991798913949161,NaN,0.031517269,4.123846954240664e-5,528.0
+32,ke->kkkke,235,0.03545939100000001,1100,1583,367874.25,133632.0,2.7528904005028734,49.575173333,NaN,1.8258719935,0.0039704477098761164,NaN,0.031762807,2.083391473535399e-5,528.0
+32,ke->kkkke,240,0.03588248100000001,1095,1578,366924.25,133344.0,2.7517117380609553,49.556991726,NaN,1.7675840445,0.0117600647048613,NaN,0.031759882,3.2801628599811926e-5,528.0
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+32,AB->ABBBBB,492,0.003837663,6350,9261,26450.0,293232.0,0.09020161510339936,4.3689590045,0.0012863948192854712,0.231622945,0.001679160141744378,1.2863948192854712e6,0.051406161,0.0007327589488180385,528.0
+32,AB->ABBBBB,493,0.003846259,6348,9259,26428.0,293232.0,0.09012658918535495,4.365016375,0.0024820947086023936,0.180535742,0.025724257737372344,2.4820947086023935e6,0.051078389,0.00028182187896376443,528.0
+32,AB->ABBBBB,494,0.003854495,6346,9257,26428.0,293136.0,0.09015610501610175,4.406138479,0.044909611737441714,0.178866686,0.0033238743432564256,4.490961173744171e7,0.050602675,0.00046512652764525627,528.0
+32,AB->ABBBBB,495,0.003863441,6345,9256,26417.0,293136.0,0.09011857977184652,4.37742209,0.0028183098409209732,0.183484568,0.02934799053578931,2.818309840920973e6,0.051237736,0.000435470692705797,528.0
+32,AB->ABBBBB,496,0.003871516,6344,9255,26417.0,293088.0,0.09013333879244459,4.3637177625,0.0012873084012467641,0.181549355,0.0012561978667177927,1.2873084012467642e6,0.0498732545,0.00017892832250373332,528.0
+32,AB->ABBBBB,497,0.0038798310000000003,6225,9136,26417.0,287376.0,0.09192486498524581,4.558196635,0.010589796618036532,0.190213177,0.03749034336190413,1.0589796618036533e7,0.053421314,0.0003846019987150136,528.0
+32,AB->ABBBBB,498,0.0038862330000000002,6224,9135,26406.0,287376.0,0.0918865876064807,4.572286667,0.006895613406249657,0.189116945,0.0029661137493144124,6.895613406249657e6,0.0538539955,0.00018182614054548557,528.0
+32,AB->ABBBBB,499,0.0038947390000000004,6223,9134,26406.0,287328.0,0.091901937854995,4.5649943275,0.0023683502188875066,0.188072866,0.003226136057731033,2.3683502188875065e6,0.0537509885,0.00023305615174942283,528.0
+32,AB->ABBBBB,500,0.0039053290000000004,6222,9133,26395.0,287328.0,0.0918636540817463,4.5728299635,0.0009884864897308915,0.191086847,0.030707114298275683,988486.4897308915,0.053627892,0.00026827275822689615,528.0
+32,AB->ABBBBB,501,0.003913664000000001,6221,9132,26395.0,287280.0,0.09187900306321359,4.600132881,0.002907501461872719,0.24735688,0.03498208904535876,2.907501461872719e6,0.054061204,0.00010964134906442308,528.0
+32,AB->ABBBBB,502,0.003924805000000001,6220,9131,26395.0,287232.0,0.09189435717468805,4.579348833,0.024398223095881428,0.245162382,0.004590819638253827,2.439822309588143e7,0.05394662,0.00021201182757317257,528.0
+32,AB->ABBBBB,503,0.003933581000000001,6219,9130,26384.0,287232.0,0.09185606060606061,4.6244834765,0.012137523961512929,0.240370515,0.002437500961248084,1.2137523961512929e7,0.053948762,6.802693202634282e-5,528.0
+32,AB->ABBBBB,504,0.003939722000000001,6218,9129,26384.0,287184.0,0.09187141344921723,4.590843505,0.0023547617478734445,0.241743123,0.003214119942670518,2.3547617478734446e6,0.053884156,0.00021870657724220368,528.0
+32,AB->ABBBBB,505,0.003948478000000002,6217,9128,26373.0,287184.0,0.09183311047969246,4.5752597015,0.0020309400761087215,0.187430012,0.03440077563439523,2.0309400761087216e6,0.0539550225,0.00014465937359506526,528.0
+32,AB->ABBBBB,506,0.0039586970000000015,6215,9126,26351.0,287184.0,0.09175650454064294,4.565782459,0.0010836920538566295,0.186004509,0.0038655255841541563,1.0836920538566294e6,0.0536408805,0.00021752658622261936,528.0
+32,AB->ABBBBB,507,0.003966522000000002,6213,9124,26329.0,287184.0,0.09167989860159341,4.573457435,0.010614003711583674,0.245973002,0.003280452143438005,1.0614003711583674e7,0.0538894625,0.00013391485698632048,528.0
+32,AB->ABBBBB,508,0.003975389000000002,6211,9122,26329.0,287088.0,0.09171055564844229,4.563281732,0.00885933803305913,0.23108291,0.022931121288658193,8.85933803305913e6,0.05366317,0.0003810795980950043,528.0
+32,AB->ABBBBB,509,0.003983014000000002,6210,9121,26329.0,287040.0,0.09172589186176143,4.5697933335,0.0030442707625966026,0.248969492,0.000930458252515931,3.0442707625966026e6,0.053664064,0.00027332426166414497,528.0
+32,AB->ABBBBB,510,0.003991560000000002,6209,9120,26329.0,286992.0,0.09174123320510676,4.5697267695,5.808882207447488e-6,0.189300539,0.00334083672118009,5808.882207447488,0.0538388645,0.00019184899090235008,528.0
+32,AB->ABBBBB,511,0.004000236000000002,6208,9119,26318.0,286992.0,0.09170290461058148,4.567873384,0.0038877692494858796,0.242824289,0.03367416561654419,3.8877692494858797e6,0.0537159705,0.00010711801769504823,528.0
+32,AB->ABBBBB,512,0.004008131000000002,6207,9118,26318.0,286944.0,0.09171824467491915,4.5673925605,0.003933917159346457,0.191999707,0.03149856518683462,3.933917159346457e6,0.05395443,0.00016826890629485493,528.0
+32,AB->ABBBBB,513,0.004016427000000001,6205,9116,26296.0,286944.0,0.09164157466265195,4.593538917,0.003389325436786795,0.244530864,0.010300595752352886,3.389325436786795e6,0.05373995,9.886739377696774e-5,528.0
+32,AB->ABBBBB,514,0.0040241320000000014,6204,9115,26285.0,286944.0,0.09160323965651834,4.552287912,0.0025357004736841454,0.187065645,0.034323195983495224,2.5357004736841456e6,0.0536285755,0.0002936992008834606,528.0
+32,AB->ABBBBB,515,0.004034061000000001,6203,9114,26285.0,286896.0,0.09161856561262618,4.5469572935,0.0029862865923257435,0.189785307,0.03089875777529205,2.9862865923257433e6,0.0538284955,6.905775802181822e-5,528.0
+32,AB->ABBBBB,516,0.004043198000000001,6202,9113,26274.0,286896.0,0.09158022419273883,4.558217291,0.0039243026284426635,0.189346833,0.004519184506317078,3.9243026284426637e6,0.053961754,9.926135384386345e-5,528.0
--- a/data/half_node_bench_ae99be7.csv
+++ b/data/half_node_bench_ae99be7.csv
@ -0,0 +1,31 @@
+process_name,cpu_threads,gpu_devices,n_inputs,chunk_size,time,std,rate,cpu_chunks,gpu_chunks,memory_est
+QED Process: 'ke->ke',62,2,67108864,1024,2.043311825,0.0660899665227483,3.2843182904792324e7,37166.0,28370.0,1.3846442256e10
+QED Process: 'ke->ke',62,2,67108864,4096,1.5518010635,0.06607660338979651,4.324579069989792e7,7497.0,8887.0,1.296602592e10
+QED Process: 'ke->ke',62,2,67108864,16384,1.4939701705,0.10658092213894797,4.491981521795719e7,1728.0,2368.0,1.2740750688e10
+QED Process: 'ke->ke',62,2,67108864,65536,1.555373644,0.09445965954047332,4.314645825385993e7,438.0,586.0,1.2850113872e10
+QED Process: 'ke->ke',62,2,67108864,262144,1.638660917,0.013398237725536777,4.095347811361758e7,124.0,132.0,1.3304564496e10
+QED Process: 'ke->ke',62,2,67108864,1048576,2.910351229,0.027851736246725205,2.3058682172549557e7,62.0,2.0,1.6945030112e10
+QED Process: 'ke->kke',62,2,67108864,1024,2.211725244,0.08543265151131811,3.0342314978794895e7,26341.0,39195.0,1.4745501408e10
+QED Process: 'ke->kke',62,2,67108864,4096,1.6489674395,0.11955276604355908,4.0697507053473875e7,4847.0,11537.0,1.3955747552e10
+QED Process: 'ke->kke',62,2,67108864,16384,1.51318523,0.06564645239799377,4.434940459999071e7,1115.5,2980.5,1.3756729712e10
+QED Process: 'ke->kke',62,2,67108864,65536,1.6035150305,0.11092442020721384,4.1851097572234444e7,310.0,714.0,1.3999510784e10
+QED Process: 'ke->kke',62,2,67108864,262144,2.136515999,0.03805686122023671,3.1410419594990354e7,93.0,163.0,1.4453843696e10
+QED Process: 'ke->kke',62,2,67108864,1048576,3.865372205,0.03845889651543607,1.736155289604252e7,62.0,2.0,1.8975091472e10
+QED Process: 'ke->kkke',62,2,67108864,1024,3.340776665,0.11691117410622376,2.008780314561973e7,15722.0,49814.0,1.5722191712e10
+QED Process: 'ke->kkke',62,2,67108864,4096,1.604716244,0.0632304309122062,4.181976985084972e7,1986.0,14398.0,1.4834712624e10
+QED Process: 'ke->kkke',62,2,67108864,16384,1.5734554205,0.10884608520482754,4.265062938908983e7,434.0,3662.0,1.475986336e10
+QED Process: 'ke->kkke',62,2,67108864,65536,1.673911017,0.34293407300061124,4.009105819750991e7,124.0,900.0,1.4870025008e10
+QED Process: 'ke->kkke',62,2,67108864,262144,2.962282835,0.05681679896162533,2.2654441772775557e7,62.0,194.0,1.5779273712e10
+QED Process: 'ke->kkke',62,2,67108864,1048576,12.016080183,0.06222113453921853,5.584921453415704e6,62.0,2.0,2.1239997568e10
+QED Process: 'ke->kkkke',62,2,67108864,1024,9.1994988685,0.25485488811272977,7.294839094962818e6,10574.5,54961.5,1.7370625632e10
+QED Process: 'ke->kkkke',62,2,67108864,4096,5.854972788,0.7884541699092905,1.146185754057513e7,1446.0,14938.0,1.6767536304e10
+QED Process: 'ke->kkkke',62,2,67108864,16384,2.55905804,0.07157435891787177,2.622404922086097e7,183.0,3913.0,1.6436061184e10
+QED Process: 'ke->kkkke',62,2,67108864,65536,3.374224823,0.05190673509010403,1.9888675924188707e7,62.0,962.0,1.6562480224e10
+QED Process: 'ke->kkkke',62,2,67108864,262144,13.0059958835,0.16363204952347302,5.1598404767402215e6,62.0,194.0,1.7926757552e10
+QED Process: 'ke->kkkke',62,2,67108864,1048576,50.5353994725,0.5713516999823761,1.327957524834029e6,62.0,2.0,2.33874808e10
+QED Process: 'ke->kkkkke',62,2,67108864,1024,90.883950878,NaN,738401.7018591656,18885.5,46650.5,2.0473411392e10
+QED Process: 'ke->kkkkke',62,2,67108864,4096,31.677370704,0.09178390269584749,2.1185111803337247e6,1669.0,14715.0,1.9036408096e10
+QED Process: 'ke->kkkkke',62,2,67108864,16384,14.660998097,0.036878854797868406,4.577373488216476e6,186.0,3910.0,1.860020904e10
+QED Process: 'ke->kkkkke',62,2,67108864,65536,19.077743664,0.16585404621411126,3.517652044284224e6,62.0,962.0,1.8710047168e10
+QED Process: 'ke->kkkkke',62,2,67108864,262144,76.222823598,NaN,880430.0448633715,62.0,194.0,2.0074261168e10
+QED Process: 'ke->kkkkke',62,2,67108864,1048576,303.420752227,NaN,221174.2720543829,62.0,2.0,2.5534981216e10
--- a/images/full_node/1bil_size/full_node_chunk_size_1k_rate.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_1k_rate.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_1k_ratio.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_1k_ratio.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_1k_time.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_1k_time.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_2k_rate.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_2k_rate.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_2k_ratio.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_2k_ratio.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_2k_time.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_2k_time.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_3k_rate.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_3k_rate.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_3k_ratio.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_3k_ratio.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_3k_time.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_3k_time.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_4k_rate.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_4k_rate.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_4k_ratio.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_4k_ratio.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_4k_time.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_4k_time.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_5k_rate.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_5k_rate.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_5k_ratio.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_5k_ratio.pdf
--- a/images/full_node/1bil_size/full_node_chunk_size_5k_time.pdf
+++ b/images/full_node/1bil_size/full_node_chunk_size_5k_time.pdf
--- a/images/full_node/1bil_size/full_node_process_best_rate.pdf
+++ b/images/full_node/1bil_size/full_node_process_best_rate.pdf
--- a/images/full_node/1bil_size/full_node_process_best_rate_plus_theory.pdf
+++ b/images/full_node/1bil_size/full_node_process_best_rate_plus_theory.pdf
--- a/images/full_node/1bil_size/full_node_process_best_time.pdf
+++ b/images/full_node/1bil_size/full_node_process_best_time.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_1k_rate.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_1k_rate.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_1k_ratio.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_1k_ratio.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_1k_time.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_1k_time.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_2k_rate.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_2k_rate.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_2k_ratio.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_2k_ratio.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_2k_time.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_2k_time.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_3k_rate.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_3k_rate.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_3k_ratio.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_3k_ratio.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_3k_time.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_3k_time.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_4k_rate.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_4k_rate.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_4k_ratio.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_4k_ratio.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_4k_time.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_4k_time.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_5k_rate.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_5k_rate.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_5k_ratio.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_5k_ratio.pdf
--- a/images/full_node/64mil_size/full_node_chunk_size_5k_time.pdf
+++ b/images/full_node/64mil_size/full_node_chunk_size_5k_time.pdf
--- a/images/full_node/64mil_size/full_node_process_best_rate.pdf
+++ b/images/full_node/64mil_size/full_node_process_best_rate.pdf
--- a/images/full_node/64mil_size/full_node_process_best_rate_plus_theory.pdf
+++ b/images/full_node/64mil_size/full_node_process_best_rate_plus_theory.pdf
--- a/images/full_node/64mil_size/full_node_process_best_time.pdf
+++ b/images/full_node/64mil_size/full_node_process_best_time.pdf
--- a/images/full_node/full_node_chunk_size_1k_rate.pdf
+++ b/images/full_node/full_node_chunk_size_1k_rate.pdf
--- a/images/full_node/full_node_chunk_size_1k_ratio.pdf
+++ b/images/full_node/full_node_chunk_size_1k_ratio.pdf
--- a/images/full_node/full_node_chunk_size_1k_time.pdf
+++ b/images/full_node/full_node_chunk_size_1k_time.pdf
--- a/images/full_node/full_node_chunk_size_2k_rate.pdf
+++ b/images/full_node/full_node_chunk_size_2k_rate.pdf
--- a/images/full_node/full_node_chunk_size_2k_ratio.pdf
+++ b/images/full_node/full_node_chunk_size_2k_ratio.pdf
--- a/images/full_node/full_node_chunk_size_2k_time.pdf
+++ b/images/full_node/full_node_chunk_size_2k_time.pdf
--- a/images/full_node/full_node_chunk_size_3k_rate.pdf
+++ b/images/full_node/full_node_chunk_size_3k_rate.pdf
--- a/images/full_node/full_node_chunk_size_3k_ratio.pdf
+++ b/images/full_node/full_node_chunk_size_3k_ratio.pdf
--- a/images/full_node/full_node_chunk_size_3k_time.pdf
+++ b/images/full_node/full_node_chunk_size_3k_time.pdf
--- a/images/full_node/full_node_chunk_size_4k_rate.pdf
+++ b/images/full_node/full_node_chunk_size_4k_rate.pdf
--- a/images/full_node/full_node_chunk_size_4k_ratio.pdf
+++ b/images/full_node/full_node_chunk_size_4k_ratio.pdf
--- a/images/full_node/full_node_chunk_size_4k_time.pdf
+++ b/images/full_node/full_node_chunk_size_4k_time.pdf
--- a/images/full_node/full_node_chunk_size_5k_rate.pdf
+++ b/images/full_node/full_node_chunk_size_5k_rate.pdf
--- a/images/full_node/full_node_chunk_size_5k_ratio.pdf
+++ b/images/full_node/full_node_chunk_size_5k_ratio.pdf
--- a/images/full_node/full_node_chunk_size_5k_time.pdf
+++ b/images/full_node/full_node_chunk_size_5k_time.pdf
--- a/images/full_node/full_node_process_best_rate.pdf
+++ b/images/full_node/full_node_process_best_rate.pdf
--- a/images/full_node/full_node_process_best_rate_plus_theory.pdf
+++ b/images/full_node/full_node_process_best_rate_plus_theory.pdf
--- a/images/full_node/full_node_process_best_time.pdf
+++ b/images/full_node/full_node_process_best_time.pdf
--- a/images/fuse_reduce_split_cdplot_greedy.pdf
+++ b/images/fuse_reduce_split_cdplot_greedy.pdf
--- a/images/reduction_bench_relative_cpu_3b_4k.pdf
+++ b/images/reduction_bench_relative_cpu_3b_4k.pdf
--- a/images/reduction_bench_relative_cpu_5b_4k.pdf
+++ b/images/reduction_bench_relative_cpu_5b_4k.pdf
--- a/images/reduction_bench_relative_cpu_vs_gpu_3k.pdf
+++ b/images/reduction_bench_relative_cpu_vs_gpu_3k.pdf
--- a/images/reduction_bench_relative_cpu_vs_gpu_4k.pdf
+++ b/images/reduction_bench_relative_cpu_vs_gpu_4k.pdf
--- a/images/reduction_bench_relative_gpu_3b_4k.pdf
+++ b/images/reduction_bench_relative_gpu_3b_4k.pdf
--- a/images/reduction_bench_relative_gpu_5b_4k.pdf
+++ b/images/reduction_bench_relative_gpu_5b_4k.pdf