use throughput as unit for benchmarks

benchmarks/benchmark-plotters/plot-cost-mtsubmit.py

@@ -6,7 +6,7 @@ import seaborn as sns
 import matplotlib.pyplot as plt
 
 x_label = "Copy Type"
-y_label = "Time in Microseconds"
+y_label = "Throughput in GiB/s"
 var_label = "Thread Counts"
 thread_counts = ["1t", "2t", "4t", "8t", "12t"]
 thread_counts_nice = ["1 Thread", "2 Threads", "4 Threads", "8 Threads", "12 Threads"]
@@ -21,6 +21,13 @@ data = {
 }
 
 
+def calc_throughput(size_bytes,time_microseconds):
+    time_seconds = time_microseconds * 1e-6
+    size_gib = size_bytes / (1024 ** 3)
+    throughput_gibs = size_gib / time_seconds
+    return throughput_gibs
+
+
 def index_from_element(value,array):
     for (idx,val) in enumerate(array):
         if val == value: return idx
@@ -56,7 +63,9 @@ def plot_mt_graph(file_paths, engine_label):
     engine_index = index_from_element(engine_label,engine_counts)
     engine_nice = engine_counts_nice[engine_index]
 
-    data[engine_nice] = times
+    throughput = [calc_throughput(1024*1024, t) for t in times]
+
+    data[engine_nice] = throughput
 
 
 # Main function to iterate over files and create plots for the new benchmark

benchmarks/benchmark-plotters/plot-perf-enginelocation.py

@@ -6,7 +6,7 @@ import seaborn as sns
 import matplotlib.pyplot as plt
 
 x_label = "Copy Type"
-y_label = "Time in Microseconds"
+y_label = "Throughput in GiB/s"
 var_label = "Configuration"
 types = ["intersock-n0ton4", "internode-n0ton1"]
 types_nice = ["Inter-Socket Copy", "Inter-Node Copy"]
@@ -22,6 +22,13 @@ data = {
 }
 
 
+def calc_throughput(size_bytes,time_microseconds):
+    time_seconds = time_microseconds * 1e-6
+    size_gib = size_bytes / (1024 ** 3)
+    throughput_gibs = size_gib / time_seconds
+    return throughput_gibs
+
+
 def index_from_element(value,array):
     for (idx,val) in enumerate(array):
         if val == value: return idx
@@ -58,7 +65,9 @@ def plot_copy_graph(file_paths, method_label):
     method_index = index_from_element(method_label,copy_methods)
     method_nice = copy_methods_nice[method_index]
 
-    data[method_nice] = times
+    throughput = [calc_throughput(1024*1024, t) for t in times]
+
+    data[method_nice] = throughput
 
 
 # Main function to iterate over files and create plots for the new benchmark

benchmarks/benchmark-plotters/plot-perf-submitmethod.py

@@ -7,7 +7,7 @@ import seaborn as sns
 import matplotlib.pyplot as plt
 
 x_label = "Size of Submitted Task"
-y_label = "Time to Copy 1 KiB in Microseconds"
+y_label = "Throughput in GiB/s"
 var_label = "Submission Type"
 sizes = ["1kib", "4kib", "1mib", "1gib"]
 sizes_nice = ["1 KiB", "4 KiB", "1 MiB", "1 GiB"]
@@ -26,6 +26,12 @@ data = {
 
 stdev = {}
 
+def calc_throughput(size_bytes,time_microseconds):
+    time_seconds = time_microseconds * 1e-6
+    size_gib = size_bytes / (1024 ** 3)
+    throughput_gibs = size_gib / time_seconds
+    return throughput_gibs
+
 
 def index_from_element(value,array):
     for (idx,val) in enumerate(array):
@@ -73,7 +79,9 @@ def plot_submit_graph(file_paths, type_label):
     times[2] = times[2] / 1024
     times[3] = times[3] / (1024 * 1024)
 
-    data[type_nice] = times
+    throughput = [calc_throughput(1024,t) for t in times]
+
+    data[type_nice] = throughput
 
 
 # Main function to iterate over files and create plots for the new benchmark