figures
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@@ -11,8 +11,8 @@ DPI=600
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path = 'figures/cpu_matvec'
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fig, ax = plt.subplots()
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systems = ('BW (32T)', "Minsky (160T)")
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mlfmm = (8.65e4, 4.71e4)
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total = (1.2e5, 5.6e4)
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mlfmm = (8.65e4, 4.84e4)
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total = (1.2e5, 5.77e4)
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x_pos = np.arange(len(systems))
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ax.bar(x_pos, mlfmm, color='gray')
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ax.bar(x_pos, [i-j for i,j in zip(total, mlfmm)], color='lightgray', bottom=mlfmm )
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@@ -26,34 +26,19 @@ print path
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path='figures/mlfmm_bw'
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# fig, ax = plt.subplots()
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# systems = ('1T', "32T", "1 GPU" ,"4 GPU", "16 GPU")
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# mlfmm = (1.50e6, 8.64e4, 2.78e4, 7.01e3, 1.89e3)
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# num = (45,45,45,45,47)
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# x_pos = np.arange(len(systems))
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# ax.bar(x_pos, [i/j for i,j in zip(mlfmm,num)], color='gray', log=True)
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# ax.set_xticks(x_pos)
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# ax.set_xticklabels(systems)
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# ax.set_ylabel("Per-MLFMM Execution Time (ms)")
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# plt.ylim([1, 1e5])
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# # ax.set_title('How fast do you want to go today?')
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# plt.savefig(path+'.pdf')
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# plt.savefig(path+'.png', dpi=DPI)
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# print path
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width=0.25
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fig, ax = plt.subplots()
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systems = ('1T', "32T", "1 GPU" ,"4 GPU", "16 GPU")
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mlfmm = (1.50e6, 8.64e4, 2.78e4, 7.01e3, 1.89e3)
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num = (45,45,45,45,47)
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x_pos = np.arange(len(systems))
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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)
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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)
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ax2=ax.twinx()
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ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='darkgray', log=True, width=0.25)
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ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=0.25)
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ax.set_xticks(x_pos)
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ax.set_xticklabels(systems)
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ax.set_ylabel("Per-MLFMM Execution Time (ms)")
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ax2.set_ylabel("Speedup over 1T")
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# ax.set_title('How fast do you want to go today?')
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plt.savefig(path+'.pdf')
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plt.savefig(path+'.png', dpi=DPI)
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print path
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@@ -88,7 +73,7 @@ path="figures/mlfmm_minsky"
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width = 10
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fig, ax = plt.subplots()
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systems = ('1T', "160T", "1 GPU" ,"4 GPU")
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mlfmm = [1.25e6, 4.71e4, 5.22e3, 1.29e3]
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mlfmm = [1.25e6, 4.84e4, 5.22e3, 1.29e3]
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num = (44,44,44,44)
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x_pos = [0,1,2,3]
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sns.barplot(x_pos,
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