The power and energy walls are changing the way users utilize supercomputers: Time-to-completion is not the only important goal but other metrics, such as the energy required to solve a problem or the power efficiency, are becoming as important as performance. In this paper we analyze the performance, power efficiency and energy consumption of scientific applications programmed in MPI, OpenMP and MPI+OpenMP on two different architectures that have take different approach to limit power consumption, IBM POWER7+ and AMD Interlagos.
Revised: September 6, 2016 |
Published: November 16, 2014
Citation
Gioiosa R., D.J. Kerbyson, and A. Hoisie. 2014.Evaluating Performance and Power Efficiency of Scientific Applications on Multi-threaded Systems. In Proceedings of E2SC 2014: 2nd International Workshop on Energy Efficient Supercomputing, November 16-21, 2014, New Orleans, Louisiana, 11-20. Los Alamitos, California:IEEE Computer Society.PNNL-SA-105964.doi:10.1109/E2SC.2014.15