add benchmark evaluations for software and new evaluations in pdf format

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

@@ -88,11 +88,11 @@ def plot_bar(table,title,node_config):
 # loops over all possible configuration combinations and calls
 # process_file_to_dataset for them in order to build a dataframe
 # which is then displayed and saved
-def main(node_config,title):
+def main(node_config,title,ext):
     src_node = 0
     for dst_node in {8,11,12,15}:
         size = "512mib" if node_config == "allnodes" and src_node == dst_node and src_node >= 8 else "1gib" 
-        file = os.path.join(result_path, f"copy-n{src_node}ton{dst_node}-{size}-{node_config}-cpu-1e.json")
+        file = os.path.join(result_path, f"copy-n{src_node}ton{dst_node}-{size}-{node_config}-cpu-{ext}.json")
         process_file_to_dataset(file, src_node, dst_node)
 
     df = pd.DataFrame(data)
@@ -100,11 +100,12 @@ def main(node_config,title):
     data.clear()
     df.set_index(index, inplace=True)
 
+    if ext == "brute": node_config = ext
     plot_bar(df, title, node_config)
 
     return df
 
 
 if __name__ == "__main__":
-    dall = main("allnodes", title_allnodes)
-    dsmart = main("smart", title_smartnodes)
+    dall = main("allnodes", title_allnodes, "1e")
+    dbrt = main("allnodes", title_allnodes, "brute")