gpuenergymicrobench/createAnalysisTable.py at master · johnastratton/gpuenergymicrobench · GitHub

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'''

	\begin{tabular}{|l|p{1.5in}|p{1.5in}|} \hline

	Measurement  & K20 & P100\\ \hline

	Control Kernel Power & 73.46$\pm$0.05\% W & 101.9$\pm$2.21\% W\\ \hline

	Control Kernel Time & 80.83$\pm$0.08\% s & 2.153$\pm$3.46\% s\\ \hline

	Control Kernel Energy & 5938$\pm$0.13\% J & 219.4$\pm$2.80\% J\\ \hline

	Test Kernel Power & 71.93$\pm$0.09\% W & 104.9$\pm$2.49\% W\\ \hline

	Test Kernel Time & 91.65$\pm$0.15\% s & 2.18$\pm$3.59\% s\\ \hline

	Test Kernel Energy & 6592$\pm$0.21\% J & 228.4$\pm$2.39\% J\\ \hline

	Test Kernel Marginal Energy & 654.7$\pm$2.87\% J & 8.974$\pm$28.81\% J\\ \hline

	Marginal Operations Per Kernel & 7.236e+13  & 4.87e+12 \\ \hline

	Energy Per Operation & 9.047$\pm$2.87\% pJ & 1.843$\pm$28.81\% pJ\\ \hline

	\end{tabular}

'''

''' Breakdown of steps:
	Make title

	get control and test power

	get control and test runtimes

	calculate marginal energy

	calculate marginal energy per kernel

	calculate marginal energy per operation

	calcculate energy per operation

	feed all into table
'''