figures

figures/plots.py

@@ -1,40 +1,60 @@
 import numpy as np
 import seaborn as sns
 import matplotlib.pyplot as plt
-
 sns.set(style="white", context="talk")
-
 plt.rcdefaults()
-
 DPI=600
 
+def autolabel(ax, rect):
+    """
+    Attach a text label above each bar displaying its height
+    """
+    height = rect.get_height()
+    ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
+        '%d' % int(height),
+        ha='center', va='bottom')
+
 path = 'figures/cpu_matvec'
 fig, ax = plt.subplots()
 systems = ('BW (32T)', "Minsky (160T)")
 mlfmm = (8.65e4, 4.84e4)
 total = (1.2e5, 5.77e4)
 x_pos = np.arange(len(systems))
-ax.bar(x_pos, mlfmm, color='gray')
+
-ax.bar(x_pos, [i-j for i,j in zip(total, mlfmm)], color='lightgray', bottom=mlfmm )
+ax.bar(x_pos, mlfmm, color='darkgray', label='MLFMM')
+ax.bar(x_pos, [i-j for i,j in zip(total, mlfmm)], color='lightgray', bottom=mlfmm, label='Other Operations')
 ax.set_xticks(x_pos)
 ax.set_xticklabels(systems)
 ax.set_ylabel("Execution Time (ms)")
-# ax.set_title('How fast do you want to go today?')
+handles, labels = ax.get_legend_handles_labels()
+ax.legend(handles, labels)
 plt.savefig(path+'.pdf')
 plt.savefig(path+'.png', dpi=DPI)
 print path
 
 
+
 path='figures/mlfmm_bw'
-width=0.25
+width=0.33
 fig, ax = plt.subplots()
 systems = ('1T', "32T", "1 GPU" ,"4 GPU", "16 GPU")
 mlfmm = (1.50e6, 8.64e4, 2.78e4, 7.01e3, 1.89e3)
 num = (45,45,45,45,47)
 x_pos = np.arange(len(systems))
-ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color='darkgray', log=True, width=0.25)
+rects = ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color='darkgray', log=True, width=width)
+autolabel(ax, rects[0])
+autolabel(ax, rects[1])
+autolabel(ax, rects[2])
+autolabel(ax, rects[3])
+autolabel(ax, rects[4])
+ax.set_ylim(1,8e4)
 ax2=ax.twinx()
-ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=0.25)
+rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=width)
+autolabel(ax2, rects[1])
+autolabel(ax2, rects[2])
+autolabel(ax2, rects[3])
+autolabel(ax2, rects[4])
+ax2.set_ylim(1,1.5e3)
 ax.set_xticks(x_pos)
 ax.set_xticklabels(systems)
 ax.set_ylabel("Per-MLFMM Execution Time (ms)")
@@ -43,73 +63,37 @@ plt.savefig(path+'.pdf')
 plt.savefig(path+'.png', dpi=DPI)
 print path
 
+
+
 path="figures/mlfmm_minsky"
-# fig, ax = plt.subplots()
+width = 0.33
-# systems = ('1T', "160T", "1 GPU" ,"4 GPU")
-# mlfmm = (1.25e6, 4.71e4, 5.22e3, 1.29e3)
-# num = (44,44,44,44)
-# x_pos = np.arange(len(systems))
-# ax.bar(x_pos, [i/j for i,j in zip(mlfmm,num)], color='gray', log=True)
-# ax.set_xticks(x_pos)
-# ax.set_xticklabels(systems)
-# ax.set_ylabel("Per-MLFMM Execution Time (ms)")
-# plt.ylim([1, 1e5])
-# # ax.set_title('How fast do you want to go today?')
-# plt.savefig(path+'.pdf')
-# plt.savefig(path+'.png', dpi=DPI)
-# print path
-
-
-# fig, ax = plt.subplots()
-# systems = ('1T', "160T", "1 GPU" ,"4 GPU")
-# mlfmm = [1.25e6, 4.71e4, 5.22e3, 1.29e3]
-# num = (44,44,44,44)
-# x_pos = [0,1,2,3]
-# sns.barplot(x_pos + x_pos, 
-#             [i/j for i, j in zip(mlfmm,num)] + [mlfmm[0] / i for i in mlfmm],
-#             ["Time", "Time", "Time", "Time", "Speedup", "Speedup", "Speedup", "Speedup"],
-#              palette="BuGn_d", ax=ax, log=True)
-
-width = 10
 fig, ax = plt.subplots()
 systems = ('1T', "160T", "1 GPU" ,"4 GPU")
 mlfmm = [1.25e6, 4.84e4, 5.22e3, 1.29e3]
 num = (44,44,44,44)
-x_pos = [0,1,2,3]
+x_pos = np.arange(len(systems))
-sns.barplot(x_pos, 
+rects = ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color='darkgray', log=True, width=width)
-            [i/j for i, j in zip(mlfmm,num)],
+autolabel(ax, rects[0])
-             color="DarkGray", ax=ax, log=True)
+autolabel(ax, rects[1])
-ax.set_ylabel("Per-MLFMM Execution Time (ms)")
+autolabel(ax, rects[2])
-
+autolabel(ax, rects[3])
-ax2 = ax.twinx()
+ax.set_ylim(1,8e4)
-# ax2.set_ylim((0,300))
+ax2=ax.twinx()
-sns.barplot(x_pos, 
+rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=width)
-            [mlfmm[0] / i for i in mlfmm],
+autolabel(ax2, rects[1])
-            color="LightGray", ax=ax2, log=True)
+autolabel(ax2, rects[2])
-ax2.set_ylabel("Speedup over 1T")
+autolabel(ax2, rects[3])
-
+ax2.set_ylim(1,1.5e3)
-
-new_width = 0.25
-for bar in ax.patches:
-    center = bar.get_x() + bar.get_width() / 2
-    bar.set_width(new_width)
-    bar.set_x(center - new_width)
-
-for bar in ax2.patches:
-    center = bar.get_x() + bar.get_width() / 2
-    bar.set_width(new_width)
-    bar.set_x(center)
-
-
 ax.set_xticks(x_pos)
 ax.set_xticklabels(systems)
-
+ax.set_ylabel("Per-MLFMM Execution Time (ms)")
-# plt.ylim([1, 1e5])
+ax2.set_ylabel("Speedup over 1T")
-# ax.set_title('How fast do you want to go today?')
 plt.savefig(path+'.pdf')
 plt.savefig(path+'.png', dpi=DPI)
 print path
 
+
+
 fig, ax = plt.subplots()
 systems = ['BW 32T', "Minsky 160T", "BW 4 GPU" ,"Minsky 4 GPU"]
 p2m = (127.10, 72.10749, 7.73, 1.604)
@@ -126,6 +110,8 @@ l2l_ratio = [i/j for i,j in zip(l2l, total)]
 l2p_ratio = [i/j for i,j in zip(l2p, total)]
 p2p_ratio = [i/j for i,j in zip(p2p, total)]
 
+
+
 path = 'figures/kernels'
 x_pos = np.arange(len(systems))
 ax.bar(x_pos, p2p_ratio, color='0', label='p2p')