Performance and energy optimization of concurrent pipelined applications

In this paper, we study the problem of finding optimal mappings for several independent but concurrent workflow applications, in order to optimize performance-related criteria together with energy consumption. Each application consists in a linear chain application with several stages, and processes successive data sets in pipeline mode, from the first to the last stage. We study the problem complexity on different target execution platforms, ranking from fully homogeneous platforms to fully heterogeneous ones. The goal is to select an execution speed for each processor, and then to assign stages to processors, with the aim of optimizing several concurrent optimization criteria. There is a clear trade-off to reach, since running faster and/or more processors leads to better performance, but the energy consumption is then very high. Energy savings can be done at the price of a lower performance, by reducing processor speeds or enrolling fewer resources.. We consider two mapping strateg...

• Type: Journal
• Year: 2010
• Where: IPPS
• Authors: Anne Benoit, Paul Renaud-Goud, Yves Robert
• Keywords: Distributed And Parallel Computing, Energy Consumption, Homogeneous Platform, IPPS 2010, Single Application