diff --git a/figures/cpu_matvec.pdf b/figures/cpu_matvec.pdf
index 412f7f3..15033d1 100644
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diff --git a/figures/cpu_matvec.png b/figures/cpu_matvec.png
index c9ef611..ff4d215 100644
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diff --git a/figures/kernels.pdf b/figures/kernels.pdf
index 9c03328..d41b663 100644
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diff --git a/figures/mlfmm_bw.pdf b/figures/mlfmm_bw.pdf
index e51482c..f23cd58 100644
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diff --git a/figures/mlfmm_bw.png b/figures/mlfmm_bw.png
index c14eaef..e1b81ca 100644
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diff --git a/figures/mlfmm_minsky.pdf b/figures/mlfmm_minsky.pdf
index a1ecb2e..77f336c 100644
Binary files a/figures/mlfmm_minsky.pdf and b/figures/mlfmm_minsky.pdf differ
diff --git a/figures/mlfmm_minsky.png b/figures/mlfmm_minsky.png
index 1d3c2fe..9fe34ae 100644
Binary files a/figures/mlfmm_minsky.png and b/figures/mlfmm_minsky.png differ
diff --git a/figures/plots.py b/figures/plots.py
index 940f8a0..bf70f41 100644
--- a/figures/plots.py
+++ b/figures/plots.py
@@ -11,8 +11,8 @@ DPI=600
 path = 'figures/cpu_matvec'
 fig, ax = plt.subplots()
 systems = ('BW (32T)', "Minsky (160T)")
-mlfmm = (8.65e4, 4.71e4)
-total = (1.2e5, 5.6e4)
+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 )
@@ -26,34 +26,19 @@ 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([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color='lightgray', log=True, width=0.25)
+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)
 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)
+ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=0.25)
 ax.set_xticks(x_pos)
 ax.set_xticklabels(systems)
 ax.set_ylabel("Per-MLFMM Execution Time (ms)")
 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
@@ -88,7 +73,7 @@ path="figures/mlfmm_minsky"
 width = 10
 fig, ax = plt.subplots()
 systems = ('1T', "160T", "1 GPU" ,"4 GPU")
-mlfmm = [1.25e6, 4.71e4, 5.22e3, 1.29e3]
+mlfmm = [1.25e6, 4.84e4, 5.22e3, 1.29e3]
 num = (44,44,44,44)
 x_pos = [0,1,2,3]
 sns.barplot(x_pos,