plot_3vars.py: added comments about plotting MFLOPS
benchmark.cpp: modification to printf format string to eliminate compile warning
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@ -42,6 +42,13 @@ xlocs = [i for i in range(len(problem_sizes))]
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plt.xticks(xlocs, problem_sizes)
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# here, we are plotting the raw values read from the input .csv file, which
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# we interpret as being "time" that maps directly to the y-axis.
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#
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# what if we want to plot MFLOPS instead? How do we compute MFLOPS from
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# time and problem size? You may need to add some code here to compute
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# MFLOPS, then modify the plt.plot() lines below to plot MFLOPS rather than time.
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plt.plot(code1_time, "r-o")
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plt.plot(code2_time, "b-x")
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plt.plot(code3_time, "g-^")
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