Changeset 14e1053 for doc/theses/colby_parsons_MMAth/benchmarks/channels

Timestamp:

Jun 27, 2023, 4:45:40 PM (11 months ago)

Author:

caparsons <caparson@…>

Branches:

master

Children:

a1f0cb6

Parents:

917e1fd

Message:

first draft of full waituntil chapter and conclusion chapter. Lots of graph/plotting utilities cleanup. Reran all CFA actor benchmarks after recent changes. Small changes to actor.tex in performance section

Location:

doc/theses/colby_parsons_MMAth/benchmarks/channels

Files:

• data/nasus.txt (added)
• data/pyke.txt (added)
• genPlots (added)
• plotData.py (modified) (4 diffs)

doc/theses/colby_parsons_MMAth/benchmarks/channels/plotData.py

@@ -20 +20 @@
     'font.size': 16
 })
-marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' )) 
+marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' ))
+
+def sci_format(x, pos):
+    return '{:.1e}'.format(x).replace('+0', '')
 
 readfile = open(sys.argv[1], "r")
@@ -62 +65 @@
 procCount = 0
 currVariant = 0
-experiment_duration = 10
+experiment_duration = 10.0
 name = ""
+title = ""
 var_name = ""
 sendData = [0.0 for j in range(numVariants)]
@@ -74 +78 @@
     if currBench == Bench.Unset:
         if line == "contend:":
-            name = "Channel Contention"
+            name = "Channel_Contention"
+            title = "Channel Contention"
             currBench = Bench.Contend
         elif line == "zero:":
@@ -126 +131 @@
             if currVariant == numVariants:
                 fig, ax = plt.subplots(layout='constrained')
-                plt.title(name + " Benchmark")
-                plt.ylabel("Throughput (channel operations)")
+                if title != "":
+                    plt.title(title + " Benchmark")
+                    title = ""
+                else:
+                    plt.title(name + " Benchmark")
+                plt.ylabel("Throughput (channel operations per second)")
                 plt.xlabel("Cores")
+                ax.yaxis.set_major_formatter(ticks.FuncFormatter(sci_format))
                 for idx, arr in enumerate(data):
                     plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
                 marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' )) 
-                plt.yscale("log")
+                # plt.yscale("log")
                 # plt.ylim(1, None)
                 # ax.get_yaxis().set_major_formatter(ticks.ScalarFormatter())