.

figures/plots.py

@@ -26,22 +26,39 @@ print path
 
 
 path='figures/mlfmm_bw'
+# 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(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
+width=0.25
 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(x_pos, [i/j for i,j in zip(mlfmm,num)], color='gray', log=True)
+ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color='lightgray', log=True, width=0.25)
+ax2=ax.twinx()
+ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='darkgray', log=True, width=0.25)
 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
 
-# path="figures/mlfmm_minsky"
+path="figures/mlfmm_minsky"
 # fig, ax = plt.subplots()
 # systems = ('1T', "160T", "1 GPU" ,"4 GPU")
 # mlfmm = (1.25e6, 4.71e4, 5.22e3, 1.29e3)
@@ -57,7 +74,7 @@ print path
 # plt.savefig(path+'.png', dpi=DPI)
 # print path
 
-path="figures/mlfmm_minsky"
+
 # fig, ax = plt.subplots()
 # systems = ('1T', "160T", "1 GPU" ,"4 GPU")
 # mlfmm = [1.25e6, 4.71e4, 5.22e3, 1.29e3]
@@ -84,7 +101,7 @@ ax2 = ax.twinx()
 sns.barplot(x_pos, 
             [mlfmm[0] / i for i in mlfmm],
             color="LightGray", ax=ax2, log=True)
-ax2.set_ylabel("Speedup")
+ax2.set_ylabel("Speedup over 1T")
 
 
 new_width = 0.25