Add reduction bench data and images

data/evaluate_gen_one_sided_comparison.jl

@@ -20,10 +20,10 @@ df = CSV.read(input_file, DataFrame)
 df2 = CSV.read(input_file_onesided, DataFrame)
 
 
-df_filt = filter(:process_name => x -> proc_to_n(x) >= 1, df)
+df_filt = filter(:process_name => x -> proc_to_n(x) >= 1 && proc_to_n(x) <= 7, df)
 df_filt.process_size = @. proc_to_n(df_filt.process_name)
 
-df_filt2 = filter(:process_name => x -> proc_to_n(x) >= 1, df2)
+df_filt2 = filter(:process_name => x -> proc_to_n(x) >= 1 && proc_to_n(x) <= 7, df2)
 df_filt2.process_size = @. proc_to_n(df_filt2.process_name)
 
 

data/evaluate_reduce_bench.jl

@@ -49,6 +49,11 @@ for process in processes
     df_filt = filter(:process => x -> x == process, df)
     df_filt_gpu = filter(:process => x -> x == process, df_gpu)
 
+    # add dummy factors to get the numbers in similar orders of magnitude
+    df_filt.cumulative_optimization_time = df_filt.cumulative_optimization_time .* 1e4
+    df_filt_gpu.cumulative_optimization_time = df_filt_gpu.cumulative_optimization_time .* 1e4
+    df_filt_gpu.gpu_t = df_filt_gpu.gpu_t .* 1e1
+
     cpu = !isempty(df_filt)
     gpu = !isempty(df_filt_gpu)
 
@@ -58,10 +63,10 @@ for process in processes
         @df df_filt scatter(
             :operations,
             :cumulative_optimization_time,
-            label = "Cumulative Optimization Time (s)",
+            label = "Cumulative Optimization Time (x10000) (s)",
             markersize = 4,
         )
-        ymax = max(df_filt[!, :cpu_st_t]..., df_filt[!, :cumulative_optimization_time]...) * 1.1
+        ymax = max(df_filt[!, :cpu_st_t]..., df_filt[!, :cumulative_optimization_time]...) * 1.1 * 1e4
         @df df_filt scatter!(
             :operations,
             :cpu_st_t,
@@ -76,16 +81,16 @@ for process in processes
             @df df_filt_gpu scatter(
                 :operations,
                 :cumulative_optimization_time,
-                label = "Cumulative Optimization Time (s)",
+                label = "Cumulative Optimization Time (x10000) (s)",
                 markersize = 4,
             )
-            ymax = max(df_filt_gpu[!, :gpu_t]..., df_filt_gpu[!, :cumulative_optimization_time]...) * 1.1
+            ymax = max(df_filt_gpu[!, :gpu_t]..., df_filt_gpu[!, :cumulative_optimization_time]...) * 1.1 * 1e4
         end
 
         @df df_filt_gpu scatter!(
             :operations,
             :gpu_t,
-            label = "GPU Execution (s)",
+            label = "GPU Execution (x10) (s)",
             markersize = 4,
             markershape = :diamond,
         )
@@ -95,8 +100,8 @@ for process in processes
         plot!(
             title = ("$(beautify_title(process)) Reduction Progression ($(n_inputs) Inputs)"),
             xscale = :linear,
-            yscale = :linear,
-            ylim = (0, ymax),
+            yscale = :log10,
+            #ylim = (0, ymax),
             legend = :outerbottom,
             minorgrid = true,
             xticks = :process_size,