Add reduce data

2024-02-29 10:57:45 +01:00 · 2024-02-29 10:57:45 +01:00 · 2784c82c23
commit 2784c82c23
parent 78717c2b43
13 changed files with 2174 additions and 7 deletions
--- a/data/AB->ABBBBB_reduction_bench.pdf
+++ b/data/AB->ABBBBB_reduction_bench.pdf
--- a/data/AB->ABBB_reduction_bench.pdf
+++ b/data/AB->ABBB_reduction_bench.pdf
--- a/data/AB->AB_reduction_bench.pdf
+++ b/data/AB->AB_reduction_bench.pdf
--- a/data/bench_results_reduction_steps.csv
+++ b/data/bench_results_reduction_steps.csv
--- a/data/bench_results_reduction_steps_gpu.csv
+++ b/data/bench_results_reduction_steps_gpu.csv
@ -0,0 +1,346 @@
+threads,process,operations,cumulative_optimization_time,graph_nodes,graph_edges,graph_ce,graph_dt,graph_ci,gen_func_t,cpu_compile_t,cpu_st_t,cpu_mt_t,gpu_compile_t,gpu_t
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+32,AB->ABBBBB,790,2.0567579989999984,5965,8876,24745.0,282192.0,0.08768852412541815,1.376537672,0.0,0.0,0.0,15.727161659,0.002399491918944844
+32,AB->ABBBBB,795,2.0574460919999984,5958,8869,24690.0,282096.0,0.08752339629062447,1.363230402,0.0,0.0,0.0,15.662599522,0.0023887196377088307
+32,AB->ABBBBB,800,2.0591366349999984,5951,8862,24668.0,281856.0,0.08751986830154405,1.311037642,0.0,0.0,0.0,15.709640431,0.0023779721073124405
+32,AB->ABBBBB,805,2.0603478839999982,5943,8854,24635.0,281616.0,0.08747727401852168,1.355314275,0.0,0.0,0.0,15.624383798,0.0024053574769230773
+32,AB->ABBBBB,810,2.0616614739999983,5934,8845,24591.0,281376.0,0.08739551347662913,1.354766478,0.0,0.0,0.0,15.70930316,0.0024099524009638562
+32,AB->ABBBBB,815,2.0631642969999984,5927,8838,24558.0,281184.0,0.08733782861044725,1.296472478,0.0,0.0,0.0,15.705746018,0.0023847287576190474
+32,AB->ABBBBB,820,2.064667347999998,5920,8831,24547.0,280896.0,0.08738821485532011,1.352393082,0.0,0.0,0.0,15.754419163,0.002445868796577017
+32,AB->ABBBBB,825,2.065718067999998,5915,8826,24525.0,280752.0,0.08735467601299367,1.358363183,0.0,0.0,0.0,15.420536669,0.002403251855427474
+32,AB->ABBBBB,830,2.067162020999998,5909,8820,24514.0,280512.0,0.08739020077572439,1.280680896,0.0,0.0,0.0,15.728023382,0.002415643942995169
+32,AB->ABBBBB,835,2.068858544999998,5896,8807,24448.0,280176.0,0.0872594369253612,1.341101369,0.0,0.0,0.0,15.941962612,0.0024475203388753058
+32,AB->ABBBBB,840,2.070637773999998,5889,8800,24415.0,279984.0,0.0872014115092291,1.29790371,0.0,0.0,0.0,15.861084988,0.002437718985888078
+32,AB->ABBBBB,845,2.0712105929999978,5884,8795,24393.0,279840.0,0.08716766723842195,1.335179797,0.0,0.0,0.0,15.808306824,0.002447385063049854
+32,AB->ABBBBB,850,2.0721890279999977,5879,8790,24371.0,279696.0,0.08713388822149763,1.330042746,0.0,0.0,0.0,15.723236372,0.0024326279635568516
+32,AB->ABBBBB,855,2.0731991519999977,5874,8785,24349.0,279552.0,0.0871000744047619,1.340141922,0.0,0.0,0.0,15.892609434,0.002441674606237817
+32,AB->ABBBBB,860,2.0742822419999976,5865,8776,24305.0,279312.0,0.0870173855759867,1.33660764,0.0,0.0,0.0,15.831107771,0.0024102259845783128
+32,AB->ABBBBB,865,2.0750848389999974,5857,8768,24272.0,279072.0,0.08697397087489966,1.31883023,0.0,0.0,0.0,15.833084169,0.0024507554701857287
+32,AB->ABBBBB,870,2.0764542829999972,5847,8758,24239.0,278736.0,0.08696042133057803,1.324416412,0.0,0.0,0.0,15.946636525,0.0024412372609756107
+32,AB->ABBBBB,875,2.077360392999997,5836,8747,24184.0,278448.0,0.08685284146411539,1.293134509,0.0,0.0,0.0,15.783997504,0.0024557449848039217
+32,AB->ABBBBB,880,2.078363443999997,5826,8737,24118.0,278256.0,0.08667557932263814,1.321427016,0.0,0.0,0.0,16.002625756,0.002451596862102689
+32,AB->ABBBBB,885,2.0800038039999973,5816,8727,24085.0,277920.0,0.08666162924582614,1.319821626,0.0,0.0,0.0,15.869988533,0.00246811017357002
+32,AB->ABBBBB,890,2.081413002999997,5809,8720,24052.0,277728.0,0.08660271920728195,1.322749328,0.0,0.0,0.0,15.751667466,0.0024396378209245746
+32,AB->ABBBBB,895,2.082161679999997,5804,8715,24030.0,277584.0,0.08656839010893999,1.315531842,0.0,0.0,0.0,15.796645945,0.00245316119117647
+32,AB->ABBBBB,900,2.092760783999997,5680,8591,23986.0,271824.0,0.08824092059567956,1.275305765,0.0,0.0,0.0,17.49622745,0.0024174821903381644
+32,AB->ABBBBB,905,2.094081176999997,5673,8584,23975.0,271536.0,0.08829400153202523,1.277309132,0.0,0.0,0.0,17.301963605,0.00241616681352657
+32,AB->ABBBBB,910,2.094740465999997,5668,8579,23942.0,271440.0,0.08820365458296493,1.290882361,0.0,0.0,0.0,17.401035411,0.0024252565515738493
+32,AB->ABBBBB,915,2.095970990999997,5661,8572,23909.0,271248.0,0.08814442871468177,1.241385252,0.0,0.0,0.0,17.436377541,0.002395173925978987
+32,AB->ABBBBB,920,2.097313114999997,5654,8565,23887.0,271008.0,0.08814130948163892,1.2775917,0.0,0.0,0.0,17.524830238,0.002444996668292683
+32,AB->ABBBBB,925,2.0982253869999967,5647,8558,23854.0,270816.0,0.08808194493678365,1.256303821,0.0,0.0,0.0,17.390458692,0.002388473591904761
+32,AB->ABBBBB,930,2.0993203999999968,5637,8548,23810.0,270528.0,0.0880130707357464,1.254361716,0.0,0.0,0.0,17.460836585,0.002419127783574879
+32,AB->ABBBBB,935,2.100076670999997,5632,8543,23788.0,270384.0,0.08797857861411917,1.242177769,0.0,0.0,0.0,17.55133577,0.002425685713801453
+32,AB->ABBBBB,940,2.1010204209999968,5622,8533,23722.0,270192.0,0.08779682596079824,1.229283041,0.0,0.0,0.0,17.534817665,0.0024144238120481928
+32,AB->ABBBBB,945,2.1025895179999967,5615,8526,23722.0,269856.0,0.08790614253527808,1.226642517,0.0,0.0,0.0,17.582716932,0.0024112452289156627
+32,AB->ABBBBB,950,2.1036800319999966,5610,8521,23700.0,269712.0,0.08787150738565581,1.223035762,0.0,0.0,0.0,17.544104775,0.002417941161352657
+32,AB->ABBBBB,955,2.1047202919999966,5603,8514,23667.0,269520.0,0.08781166518254675,1.213185959,0.0,0.0,0.0,17.613564227,0.0024441142439024393
+32,AB->ABBBBB,960,2.1074147579999964,5480,8272,22942.0,269376.0,0.08516720123544785,1.231149899,0.0,0.0,0.0,17.502789822,0.002447688212609971
+32,AB->ABBBBB,965,2.1096814159999964,5469,8261,22909.0,268992.0,0.08516610159409946,1.232054637,0.0,0.0,0.0,17.592947626,0.002409367888088376
+32,AB->ABBBBB,970,2.110843613999996,5463,8255,22898.0,268752.0,0.08520122640947789,1.219057813,0.0,0.0,0.0,17.566256478,0.002414121072771085
+32,AB->ABBBBB,975,2.111524052999996,5457,8249,22854.0,268656.0,0.08506789351438271,1.214007072,0.0,0.0,0.0,17.311929893,0.002405199301633045
+32,AB->ABBBBB,980,2.1127225479999963,5451,8243,22843.0,268416.0,0.0851029744873629,1.219959699,0.0,0.0,0.0,17.868461334,0.0024446314024449876
+32,AB->ABBBBB,985,2.123318061999996,5210,7883,22118.0,262608.0,0.08422439529641138,1.154656816,0.0,0.0,0.0,18.261849977,0.002228250951002227
+32,AB->ABBBBB,990,2.124466403999996,5200,7873,22074.0,262320.0,0.0841491308325709,1.151790098,0.0,0.0,0.0,18.452627216,0.002234809248882931
+32,AB->ABBBBB,995,2.125274701999996,5193,7866,22041.0,262128.0,0.08408487456509797,1.144860994,0.0,0.0,0.0,18.355816449,0.0022355378512064344
+32,AB->ABBBBB,1000,2.126074423999996,5188,7861,22030.0,261936.0,0.0841045140797752,1.151574205,0.0,0.0,0.0,18.244992588,0.0022196777043439714
+32,AB->ABBBBB,1005,2.127001131999996,5065,7738,22019.0,256080.0,0.08598484848484848,1.126015159,0.0,0.0,0.0,19.640969518,0.002282847320091324
+32,AB->ABBBBB,1010,2.1277870889999964,5058,7731,21975.0,255936.0,0.08586130907726931,1.111671033,0.0,0.0,0.0,19.778486854,0.002286495183561644
+32,AB->ABBBBB,1015,2.1289088109999965,5052,7725,21953.0,255744.0,0.08583974599599599,1.1012797,0.0,0.0,0.0,19.74738901,0.0022880000328767123
+32,AB->ABBBBB,1020,2.1309106249999967,5042,7715,21931.0,255360.0,0.0858826754385965,1.114773447,0.0,0.0,0.0,19.480380943,0.002266492517647059
+32,AB->ABBBBB,1025,2.132171787999997,5032,7705,21898.0,255024.0,0.08586642825773261,1.104269874,0.0,0.0,0.0,19.635432747,0.002294164430275229
+32,AB->ABBBBB,1030,2.132989973999997,5025,7698,21876.0,254784.0,0.08586096458176337,1.106994476,0.0,0.0,0.0,19.833955597,0.002268743923913044
+32,AB->ABBBBB,1035,2.133999587999997,5015,7688,21843.0,254448.0,0.0858446519524618,1.100426335,0.0,0.0,0.0,19.587691826,0.002265552461050725
+32,AB->ABBBBB,1040,2.134759034999997,5008,7681,21821.0,254208.0,0.08583915533736153,1.104290517,0.0,0.0,0.0,19.369010806,0.002261468618058691
+32,AB->ABBBBB,1045,2.136065942999997,4998,7671,21777.0,253920.0,0.0857632325141777,1.096264587,0.0,0.0,0.0,19.447834897,0.002260751829345372
--- a/data/evaluate_reduce_bench.jl
+++ b/data/evaluate_reduce_bench.jl
@ -37,8 +37,7 @@ function beautify_title(str::AbstractString)
    return L"%$prefix \rightarrow %$new_suffix"
 end

-processes =
-    ["ke->ke", "ke->kke", "ke->kkke", "ke->kkkke", "ke->kkkkke", "AB->AB", "AB->ABBB", "AB->ABBBBB", "AB->ABBBBBBB"]
+processes = ["ke->ke", "ke->kke", "ke->kkke", "ke->kkkke", "ke->kkkkke", "AB->AB", "AB->ABBB", "AB->ABBBBB"]

 input_file = ARGS[1]
 input_file_gpu = ARGS[2]
@ -46,7 +45,6 @@ df = CSV.read(input_file, DataFrame)
 df_gpu = CSV.read(input_file_gpu, DataFrame)
 n_inputs = 50_000

-
 for process in processes
    df_filt = filter(:process => x -> x == process, df)
    df_filt_gpu = filter(:process => x -> x == process, df_gpu)
@ -61,14 +59,14 @@ for process in processes
            :operations,
            :cumulative_optimization_time,
            label = "Cumulative Optimization Time (s)",
-            markersize = 7,
+            markersize = 4,
        )
        ymax = max(df_filt[!, :cpu_st_t]..., df_filt[!, :cumulative_optimization_time]...) * 1.1
        @df df_filt scatter!(
            :operations,
            :cpu_st_t,
            label = "Single-Threaded Execution (s)",
-            markersize = 7,
+            markersize = 4,
            markershape = :square,
        )
    end
@ -79,7 +77,7 @@ for process in processes
                :operations,
                :cumulative_optimization_time,
                label = "Cumulative Optimization Time (s)",
-                markersize = 7,
+                markersize = 4,
            )
            ymax = max(df_filt_gpu[!, :gpu_t]..., df_filt_gpu[!, :cumulative_optimization_time]...) * 1.1
        end
@ -88,7 +86,7 @@ for process in processes
            :operations,
            :gpu_t,
            label = "GPU Execution (s)",
-            markersize = 7,
+            markersize = 4,
            markershape = :diamond,
        )
    end
@ -117,3 +115,85 @@ for process in processes
    end
 end

+# ABC vs QED
+AB_process = "AB->ABBB"
+QED_process = "ke->kkkkke"
+
+df_filt_AB = filter(:process => x -> x == AB_process, df)
+df_filt_QED = filter(:process => x -> x == QED_process, df)
+
+max_AB = max(df_filt_AB[!, :operations]...)
+max_QED = max(df_filt_QED[!, :operations]...)
+
+df_filt_AB.reduction_progress = df_filt_AB.operations ./ max_AB .* 100.0
+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)
+
+plot!(
+    title = ("Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on CPU"),
+    xscale = :linear,
+    yscale = :linear,
+    #ylim = (0, ymax),
+    legend = :outerbottom,
+    minorgrid = true,
+    xticks = :process_size,
+    #yticks = [1e-3, 1e-1, 1e1, 1e3],
+    xgrid = false,
+    xminorticks = false,
+    legendcolumns = 1,
+    legend_font_pointsize = 12,
+    fontsize = 12,
+    size = (800, 600),
+    xlabel = "reduction progress (%)",
+    ylabel = "relative time taken (%)",
+)
+
+savefig("reduction_bench_relative.pdf")
+
+
+# ABC vs QED on GPU
+AB_process = "AB->ABBB"
+QED_process = "ke->kkke"
+
+df_filt_AB = filter(:process => x -> x == AB_process, df_gpu)
+df_filt_QED = filter(:process => x -> x == QED_process, df_gpu)
+
+max_AB = max(df_filt_AB[!, :operations]...)
+max_QED = max(df_filt_QED[!, :operations]...)
+
+df_filt_AB.reduction_progress = df_filt_AB.operations ./ max_AB .* 100.0
+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)
+
+plot!(
+    title = (
+        "Relative Performance of $(beautify_title(QED_process)) versus $(beautify_title(AB_process)) on GPU (A100)"
+    ),
+    xscale = :linear,
+    yscale = :linear,
+    #ylim = (0, ymax),
+    legend = :outerbottom,
+    minorgrid = true,
+    xticks = :process_size,
+    #yticks = [1e-3, 1e-1, 1e1, 1e3],
+    xgrid = false,
+    xminorticks = false,
+    legendcolumns = 1,
+    legend_font_pointsize = 12,
+    fontsize = 12,
+    size = (800, 600),
+    xlabel = "reduction progress (%)",
+    ylabel = "relative time taken (%)",
+)
+
+savefig("reduction_bench_relative_gpu.pdf")
--- a/data/ke->ke_reduction_bench.pdf
+++ b/data/ke->ke_reduction_bench.pdf
--- a/data/ke->kke_reduction_bench.pdf
+++ b/data/ke->kke_reduction_bench.pdf
--- a/data/ke->kkke_reduction_bench.pdf
+++ b/data/ke->kkke_reduction_bench.pdf
--- a/data/ke->kkkke_reduction_bench.pdf
+++ b/data/ke->kkkke_reduction_bench.pdf
--- a/data/ke->kkkkke_reduction_bench.pdf
+++ b/data/ke->kkkkke_reduction_bench.pdf
--- a/data/reduction_bench_relative.pdf
+++ b/data/reduction_bench_relative.pdf
--- a/data/reduction_bench_relative_gpu.pdf
+++ b/data/reduction_bench_relative_gpu.pdf