small changes to the plotter scripts for nicer display

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

@@ -11,9 +11,9 @@ 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"]
-engine_counts = ["1mib-1e", "1mib-4e", "1gib-1e", "1gib-4e"]
+engine_counts = ["1mib-1e_PREVENT_FROM_DISPLAYING", "1mib-4e_PREVENT_FROM_DISPLAYING", "1gib-1e", "1gib-4e"]
 engine_counts_nice = ["1 E/WQ and Tasksize 1 MiB", "4 E/WQ and Tasksize 1 MiB", "1 E/WQ and Tasksize 1 GiB", "4 E/WQ and Tasksize 1 GiB"]
-title = "Per-Thread Throughput - 120 Copy Operations split on Threads Intra-Node on DDR"
+title = "Total Throughput - 120 Copy Operations split on Threads Intra-Node on DDR"
 
 index = [runid, x_label, var_label]
 data = []
@@ -43,9 +43,9 @@ def load_time_mesurements(file_path):
 
         return {
             "total" : sum([x / (iterations * 120) for x in list(chain([data["list"][i]["report"]["time"]["total"] for i in range(count)]))]),
-            "combined" : [x / (120 / count) for x in list(chain(*[data["list"][i]["report"]["time"]["combined"] for i in range(count)]))],
-            "submission" : [x / (120 / count) for x in list(chain(*[data["list"][i]["report"]["time"]["submission"] for i in range(count)]))],
-            "completion" : [x / (120 / count) for x in list(chain(*[data["list"][i]["report"]["time"]["completion"] for i in range(count)]))]
+            "combined" : [x / 120 for x in list(chain(*[data["list"][i]["report"]["time"]["combined"] for i in range(count)]))],
+            "submission" : [x / 120 for x in list(chain(*[data["list"][i]["report"]["time"]["submission"] for i in range(count)]))],
+            "completion" : [x / 120 for x in list(chain(*[data["list"][i]["report"]["time"]["completion"] for i in range(count)]))]
         }
 
 def process_file_to_dataset(file_path, engine_label, thread_count):
@@ -55,13 +55,12 @@ def process_file_to_dataset(file_path, engine_label, thread_count):
     thread_count_nice = thread_counts_nice[threadc_index]
     data_size = 0
 
-    if engine_label in ["1gib-1e", "1gib-4e"]:
-        data_size = 1024*1024*1024
-    else:
-        data_size = 1024*1024
+    if engine_label in ["1gib-1e", "1gib-4e"]: data_size = 1024*1024*1024
+    elif engine_label in ["1mib-1e", "1mib-4e"]: data_size = 1024*1024
+    else: data_size = 0
 
     try:
-        time = [load_time_mesurements(file_path)["total"]]
+        time = load_time_mesurements(file_path)["combined"]
         run_idx = 0
         for t in time:
             data.append({ runid : run_idx, x_label: thread_count_nice, var_label : engine_nice, y_label : calc_throughput(data_size, t)})

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

@@ -10,7 +10,7 @@ x_label = "Copy Type"
 y_label = "Throughput in GiB/s"
 var_label = "Configuration"
 types = ["intersock-n0ton4-1mib", "internode-n0ton1-1mib", "intersock-n0ton4-1gib", "internode-n0ton1-1gib"]
-types_nice = ["Inter-Socket Copy 1MiB", "Inter-Node Copy 1MiB", "Inter-Socket Copy 1GiB", "Inter-Node Copy 1GiB"]
+types_nice = ["Inter-Socket 1MiB", "Inter-Node 1MiB", "Inter-Socket 1GiB", "Inter-Node 1GiB"]
 copy_methods = ["dstcopy", "srccopy", "xcopy", "srcoutsidercopy", "dstoutsidercopy", "sockoutsidercopy", "nodeoutsidercopy"]
 copy_methods_nice = [ "Engine on DST-Node", "Engine on SRC-Node", "Cross-Copy / Both Engines", "Engine on SRC-Socket, not SRC-Node", "Engine on DST-Socket, not DST-Node", "Engine on different Socket", "Engine on same Socket"]
 title = "Performance of Engine Location - Copy Operation on DDR with 1 Engine per WQ"

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

@@ -8,7 +8,7 @@ import matplotlib.pyplot as plt
 
 runid = "Run ID"
 x_label = "Size of Submitted Task"
-y_label = "Throughput in GiB/s, LogScale"
+y_label = "Throughput in GiB/s"
 var_label = "Submission Type"
 sizes = ["1kib", "4kib", "1mib", "32mib"]
 sizes_nice = ["1 KiB", "4 KiB", "1 MiB", "32 MiB"]
@@ -69,10 +69,10 @@ def process_file_to_dataset(file_path, type_label,size_label):
     else: data_size = 0
 
     try:
-        time = [load_time_mesurements(file_path,type_label)["total"]]
+        time = load_time_mesurements(file_path,type_label)["combined"]
         run_idx = 0
         for t in time:
-            data.append({ runid : run_idx, x_label: type_nice, var_label : size_nice, y_label : calc_throughput(data_size, t)})
+            data.append({ runid : run_idx, x_label: size_nice, var_label : type_nice, y_label : calc_throughput(data_size, t)})
             run_idx = run_idx + 1
     except FileNotFoundError:
         return
@@ -92,6 +92,7 @@ def main():
     df = df.sort_values(y_label)
 
     sns.barplot(x=x_label, y=y_label, hue=var_label, data=df, palette="rocket", errorbar="sd")
+    
     plt.title(title)
     plt.savefig(os.path.join(folder_path, "plot-opt-submitmethod.png"), bbox_inches='tight')
     plt.show()