Energy-efficient Algorithms for Ultrascale Systems

Abstract

The chances to reach Exascale or Ultrascale Computing are strongly connected with the problem of the energy consumption for processing applications. For physical and economical reasons, the energy consumption has to be reduced significantly to make Ultrascale Computing possible. The research efforts towards energy-saving mechanisms of the hardware have already made energy-aware hardware systems available. However, to achieve a strong energy reduction, hardware mechanisms must be complemented with new energy-efficient software that can exploit them so that the foreseen energy savings actually result. In the software area, there also exist a multitude of research approaches towards energy saving, often concentrating either on the system software level or the application organization level, reflecting the expertise of the corresponding research group. The challenge of reducing the energy consumption dramatically to make Ultrascale Computing possible is so ambitious that a concerted action combining research efforts through all the software levels seems reasonable. In this article, we discuss the current research efforts and results related to energy efficiency in the diverse areas of software. We conclude with open problems and questions concerning energy-related techniques with an emphasis on the application or algorithmic side.

Time–Energy Correlation for Multithreaded Matrix Factorizations

“…At the operating system level, the approach to optimizing energy consumption focuses on minimizing the energy consumption of the entire node through the use of a technique such as DVFS. The DVFS technique has a very high potential to save energy, as shown in the work of [8][9][10]. The article [8] focuses on the DVFS technique, which is available for multiple platforms with multiple cores.…”