Energy consumption is one of the major topics in high performance computing (HPC) in the last years. However, little effort is put into energy analysis by developers of HPC applications. We present our approach of combined performance and energy analysis using the performance analysis tool-set Scalasca. Scalascas parallel wait-state analysis is extended by a calculation of the energy-saving potential if a lower power-state can be used.

@article{DEPIWOLPPK11,
	author	 = {Michael Knobloch and Bernd Mohr and Timo Minartz},
	title	 = {{Determine Energy-Saving Potential in Wait-States of Large-Scale Parallel Programs}},
	year	 = {2011},
	editor	 = {Thomas Ludwig},
	publisher	 = {Springer},
	address	 = {Berlin / Heidelberg, Germany},
	journal	 = {Computer Science - Research and Development},
	series	 = {1},
	doi	 = {http://dx.doi.org/10.1007/s00450-011-0196-7},
	abstract	 = {Energy consumption is one of the major topics in high performance computing (HPC) in the last years. However, little effort is put into energy analysis by developers of HPC applications. We present our approach of combined performance and energy analysis using the performance analysis tool-set Scalasca. Scalascas parallel wait-state analysis is extended by a calculation of the energy-saving potential if a lower power-state can be used.},
}