2012 41st International Conference on Parallel Processing (2012)
Pittsburgh, PA, USA USA
Sept. 10, 2012 to Sept. 13, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2012.57
Understanding power usage in parallel workloads is crucial to develop the energy-aware software that will run in future Exascale systems. In this paper, we contribute towards this goal by introducing an integrated framework to profile, monitor, model and analyze power dissipation in parallel MPI and multi-threaded scientific applications. The framework includes an own-designed device to measure internal DC power consumption and a package offering a simple interface to interact with this design as well as commercial power meters. Combined with the instrumentation package Extrae and the graphical analysis tool Paraver, the result is a useful environment to identify sources of power inefficiency directly in the source application code. For task-parallel codes, we also offer a statistical software module that inspects the execution trace of the application to calculate the parameters of an accurate model for the global energy consumption, which can be then decomposed into the average power usage per task or the nodal power dissipated per core.
Libraries, Power measurement, Servers, Radiation detectors, Hardware, Kernel, Scientific applications, High performance computing, Power, Tracing, Energy and power models
P. Alonso et al., "Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications," 2012 41st International Conference on Parallel Processing(ICPP), Pittsburgh, PA, USA USA, 2012, pp. 420-429.