re-plot the benchmarks with the new data

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

@@ -11,7 +11,7 @@ runid = "Run ID"
 x_label = "Destination Node"
 y_label = "Source Node"
 v_label = "Throughput"
-title = "Copy Throughput for 1GiB Elements running on SRC Node"
+title = "Copy Throughput in GiB/s tested for 1GiB Elements using all 8 DSA Chiplets"
 
 index = [ runid, x_label, y_label]
 data = []
@@ -34,11 +34,11 @@ def load_time_mesurements(file_path):
     with open(file_path, 'r') as file:
         data = json.load(file)
         count = data["count"]
-        batch_size = 8
+        batch_size = data["list"][0]["task"]["batching"]["batch_size"] if data["list"][0]["task"]["batching"]["batch_size"] > 0 else 1
         iterations = data["list"][0]["task"]["iterations"]
 
         return {
-            "total": sum([x / (iterations * batch_size * count) for x in list(chain([data["list"][i]["report"]["time"]["total"] for i in range(count)]))]),
+            "total": sum([x / (iterations * batch_size * count * count) for x in list(chain([data["list"][i]["report"]["time"]["total"] for i in range(count)]))]),
             "combined": [ x / (count * batch_size) for x in list(chain(*[data["list"][i]["report"]["time"]["combined"] for i in range(count)]))],
             "submission": [ x / (count * batch_size) for x in list(chain(*[data["list"][i]["report"]["time"]["submission"] for i in range(count)]))],
             "completion": [ x / (count * batch_size) for x in list(chain(*[data["list"][i]["report"]["time"]["completion"] for i in range(count)]))]
@@ -63,7 +63,7 @@ def main():
 
     for src_node in range(16):
         for dst_node in range(16):
-            file = os.path .join(folder_path, f"copy-n{src_node}ton{dst_node}-1gib-4e.json")
+            file = os.path.join(folder_path, f"copy-n{src_node}ton{dst_node}-1gib-allnodes-1e.json")
             process_file_to_dataset(file, src_node, dst_node)
 
     df = pd.DataFrame(data)
@@ -73,7 +73,7 @@ def main():
     sns.heatmap(data_pivot, annot=True, cmap="YlGn", fmt=".0f")
 
     plt.title(title)
-    plt.savefig(os.path.join(folder_path, "plot-perf-peakthroughput.png"), bbox_inches='tight')
+    plt.savefig(os.path.join(folder_path, "plot-perf-allnodethroughput.png"), bbox_inches='tight')
     plt.show()