196 lines
6.7 KiB
Python
196 lines
6.7 KiB
Python
import numpy as np
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import seaborn as sns
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import matplotlib.pyplot as plt
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import math
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sns.set(style="white", context="talk")
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plt.rcdefaults()
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DPI=300
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BBOX_INCHES='tight'
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def autolabel(ax, rect):
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"""
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Attach a text label above each bar displaying its height
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"""
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height = rect.get_height()
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ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
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'%d' % int(round(height)),
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ha='center', va='bottom')
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path = 'figures/cpu_matvec'
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fig, ax = plt.subplots(figsize=(6, 3))
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systems = ('XE (32T)', "S822LC (160T)")
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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='0.4', label='MLFMM')
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ax.bar(x_pos, [i-j for i,j in zip(total, mlfmm)], color='0.8', bottom=mlfmm, label='Non-MLFMM')
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ax.set_xticks(x_pos)
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ax.set_xticklabels(systems)
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ax.set_ylabel("Execution Time (ms)")
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handles, labels = ax.get_legend_handles_labels()
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ax.legend(handles, labels)
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sns.despine(trim=True)
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plt.savefig(path+'.pdf', bbox_inches=BBOX_INCHES)
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plt.savefig(path+'.png', dpi=DPI, bbox_inches=BBOX_INCHES)
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print path
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path = 'figures/kernels'
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fig, ax = plt.subplots()
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systems = ['32T\n(1 XE)', "160T\n(1 S822LC)", "4 GPU\n(4 XK)" ,"4 GPU\n(1 S822LC)"]
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x_pos = np.arange(len(systems))
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p2m = (127.10, 72.10749, 7.73, 1.604)
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m2m = (156.2506, 102.61091, 9.613814, 1.746476)
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m2l = (189.615, 82.67791, 18.177774, 2.671025)
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l2l = (91.5957, 101.56461, 20.215436, 2.611185)
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l2p = (196.2115, 68.38529, 6.994, 1.395)
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p2p = (1117.368, 590.4818, 90.619, 18.265)
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total = [sum(i) for i in zip(p2m,m2m,m2l,l2l,l2p,p2p)]
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p2m_ratio = [i/j for i,j in zip(p2m, total)]
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m2m_ratio = [i/j for i,j in zip(m2m, total)]
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m2l_ratio = [i/j for i,j in zip(m2l, total)]
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l2l_ratio = [i/j for i,j in zip(l2l, total)]
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l2p_ratio = [i/j for i,j in zip(l2p, total)]
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p2p_ratio = [i/j for i,j in zip(p2p, total)]
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ax.bar(x_pos, p2m_ratio, color='0.75', label='P2M', bottom=[sum(i) for i in zip(m2m_ratio, m2l_ratio, l2l_ratio, l2p_ratio,p2p_ratio)])
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ax.bar(x_pos, m2m_ratio, color='0.50', label='M2M', bottom=[sum(i) for i in zip(m2l_ratio, l2l_ratio, l2p_ratio,p2p_ratio)])
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ax.bar(x_pos, m2l_ratio, color='0.40', label='M2L', bottom=[sum(i) for i in zip(l2l_ratio, l2p_ratio,p2p_ratio)])
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ax.bar(x_pos, l2l_ratio, color='0.25', label='L2L', bottom=[sum(i) for i in zip(l2p_ratio,p2p_ratio)])
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ax.bar(x_pos, l2p_ratio, color='0.15', label='L2P', bottom=p2p_ratio)
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ax.bar(x_pos, p2p_ratio, color='0', label='P2P')
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ax.set_xticks(x_pos)
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ax.set_xticklabels(systems)
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ax.set_ylabel("MLFMM Kernel Breakdown")
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handles, labels = ax.get_legend_handles_labels()
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ax.legend(handles, labels)
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# plt.ylim([1, 1e4])
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# ax.set_title('How fast do you want to go today?')
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sns.despine(trim=True)
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legend = plt.legend(frameon = 1)
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frame = legend.get_frame()
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# frame.set_facecolor('white')
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# frame.set_edgecolor('white')
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frame.set_alpha(0.9)
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plt.savefig(path+'.pdf', bbox_inches=BBOX_INCHES)
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plt.savefig(path+'.png', dpi=DPI, bbox_inches=BBOX_INCHES)
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print path
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path='figures/mlfmm_bw'
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width=0.33
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fig, ax = plt.subplots()
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systems = ('1T\n(1 XE)', "32T\n(1 XE)", "1 GPU\n(1 XK)" ,"4 GPU\n(4 XK)", "16 GPU\n(16 XK)")
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mlfmm = (1.50e6, 8.64e4, 2.783779e4, 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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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)
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autolabel(ax, rects[0])
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autolabel(ax, rects[1])
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autolabel(ax, rects[2])
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autolabel(ax, rects[3])
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autolabel(ax, rects[4])
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ax.set_ylim(1,8e4)
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ax2=ax.twinx()
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rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=width)
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autolabel(ax2, rects[1])
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autolabel(ax2, rects[2])
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autolabel(ax2, rects[3])
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autolabel(ax2, rects[4])
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ax2.set_ylim(1,1.5e3)
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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 Sequential")
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plt.savefig(path+'.pdf', bbox_inches=BBOX_INCHES)
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plt.savefig(path+'.png', dpi=DPI, bbox_inches=BBOX_INCHES)
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print path
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path="figures/mlfmm_minsky"
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width = 0.33
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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, 4.84e4, 5.22e3, 1.29e3]
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num = (44,44,44,44)
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x_pos = np.arange(len(systems))
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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)
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autolabel(ax, rects[0])
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autolabel(ax, rects[1])
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autolabel(ax, rects[2])
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autolabel(ax, rects[3])
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ax.set_ylim(1,8e4)
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ax2=ax.twinx()
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rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color='lightgray', log=True, width=width)
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autolabel(ax2, rects[1])
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autolabel(ax2, rects[2])
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autolabel(ax2, rects[3])
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ax2.set_ylim(1,1.5e3)
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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 Sequential")
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plt.savefig(path+'.pdf', bbox_inches=BBOX_INCHES)
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plt.savefig(path+'.png', dpi=DPI, bbox_inches=BBOX_INCHES)
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print path
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path="figures/mlfmm"
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width=0.33
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WALLTIME="0.8"
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SPEEDUP="0.5"
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fig, axes = plt.subplots(2,1)
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ax=axes[0]
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ax.set_title("(a)")
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systems = ('1T\n(1 XE)', "32T\n(1 XE)", "1 GPU\n(1 XK)" ,"4 GPU\n(4 XK)", "16 GPU\n(16 XK)")
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mlfmm = (1.50e6, 8.64e4, 2.783779e4, 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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rects = ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color=WALLTIME, log=True, width=width)
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autolabel(ax, rects[0])
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autolabel(ax, rects[1])
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autolabel(ax, rects[2])
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autolabel(ax, rects[3])
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autolabel(ax, rects[4])
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ax.set_ylim(1,2e5)
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ax2=ax.twinx()
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rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color=SPEEDUP, log=True, width=width)
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autolabel(ax2, rects[1])
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autolabel(ax2, rects[2])
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autolabel(ax2, rects[3])
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autolabel(ax2, rects[4])
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ax2.set_ylim(1,5e3)
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ax.set_xticks(x_pos)
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ax.set_xticklabels(systems)
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ax=axes[1]
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ax.set_title("(b)")
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systems = ('1T\n(1 S822LC)', "160T\n(1 S822LC)", "1 GPU\n(1 S822LC)" ,"4 GPU\n(1 S822LC)")
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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 = np.arange(len(systems))
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rects = ax.bar([p-width/2 for p in x_pos], [i/j for i,j in zip(mlfmm,num)], color=WALLTIME, log=True, width=width)
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autolabel(ax, rects[0])
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autolabel(ax, rects[1])
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autolabel(ax, rects[2])
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autolabel(ax, rects[3])
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ax.set_ylim(1,2e5)
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ax2=ax.twinx()
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rects = ax2.bar([p+width/2 for p in x_pos], [mlfmm[0] / i for i in mlfmm], color=SPEEDUP, log=True, width=width)
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autolabel(ax2, rects[1])
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autolabel(ax2, rects[2])
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autolabel(ax2, rects[3])
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ax2.set_ylim(1,5e3)
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ax.set_xticks(x_pos)
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ax.set_xticklabels(systems)
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fig.text(-0.01, 0.5, "Per-MLFMM Execution Time (ms)", va='center', rotation='vertical')
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fig.text(0.99, 0.5, "Speedup over Sequential", va='center', rotation='vertical')
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fig.tight_layout()
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plt.savefig(path+'.pdf', bbox_inches=BBOX_INCHES)
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plt.savefig(path+'.png', dpi=DPI, bbox_inches=BBOX_INCHES)
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print path
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