plot result

deploy/workloads/ccbench-cache-sweep/plotccbench.py

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+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+#from mpl_toolkits.mplot3d import Axes3D
+import pandas as pd
+#import numpy as np
+#import re
+#import sys
+#from collections import OrderedDict
+
+f = open('/home/centos/firesim/deploy/results-workload/2019-01-24--20-34-43-ccbench-cache-sweep/ccbench-all/output/RESULTSFILE', 'r')
+q = f.readlines()
+f.close()
+#print(q)
+
+
+q = filter(lambda x: x.startswith('App:'), q)
+q = map(lambda x: x.strip().split(","), q)
+q = map(lambda x: list(map(lambda z: z.split(":"), x)), q)
+
+
+def arr_to_dict(q):
+    # to dicts
+    as_dict = []
+    for elem in q:
+        d = dict()
+        for pair in elem:
+            d[pair[0]] = pair[1]
+        as_dict.append(d)
+    return as_dict
+
+cacheline_stride_bmark = filter(lambda x: ['RunType', '[16]'] in x, q)
+unit_stride_bmark = filter(lambda x: ['RunType', '[1]'] in x, q)
+random_bmark = filter(lambda x: ['RunType', '[0]'] in x, q)
+
+def data_from_full_dict(array_of_dict):
+    times = []
+    sizes = []
+    for d in array_of_dict:
+        time = eval(d['Time'])
+        appsize = eval(d['AppSize'])
+        times.append(time)
+        sizes.append(appsize)
+    return {'size': sizes, 'time': times}
+
+cacheline_stride_bmark_data = data_from_full_dict(arr_to_dict(random_bmark))
+
+ccbench_df = pd.DataFrame(data=cacheline_stride_bmark_data)
+print(ccbench_df)
+
+#ccbench_df = pd.read_csv('ccbench.csv')
+#ccbench_df['size'] = ccbench_df['size'].astype(int)
+ccbench_df = ccbench_df.sort_values(by=['size'])
+print(ccbench_df)
+
+
+series = []
+array_dim = list(ccbench_df['size'])
+
+array_time = list(ccbench_df['time'])
+
+fig, ax = plt.subplots()
+ser, = plt.semilogx(array_dim, array_time, linestyle='--', marker='^', c='0.7')
+series.append(ser)
+
+
+#matplotlib.rcParams.update({'font.size': 16})
+matplotlib.rcParams.update(matplotlib.rcParamsDefault)
+ax.set_xlabel(r'Array Dimension', size='12')
+ax.set_ylabel(r'Execution Time (ns)', size='11')
+ax.set_xscale('log', basex=2)
+ax.grid(linestyle='-', linewidth=0.3)
+plt.xticks(fontsize=8, rotation=90)
+fig = plt.gcf()
+fig.tight_layout()
+fig.savefig('yolo.pdf', format='pdf')
+#plt.show() 
+
+