Betriebssysteme · Institut für Systemarchitektur · Fakultät Informatik · TU Dresden

09. 12. 2011

Energy-Efficient Parallel Processing: Trends and Objectives

Daniel Hackenberg

TU Dresden

The continuously growing power consumption and associated operational costs of compute systems have shaped both microprocessors and system design for several years now. Similar to mobile processors, CPUs for server class and high performance computing systems are no longer designed with a narrow focus on raw compute performance. This development has driven a strong trend towards more energy-proportional computing, with the power consumption of state-of-the-art platforms being far from static but instead strongly correlated with the current workload. Consequently, significant efforts are required to ensure that we tap the emerging potential for power-aware software development. This presentation highlights recent hardware and software trends in energy-efficient computing. We illustrate typical power profiles of parallel applications and explain why the traditional 'race to idle' does not necessarily lead to energy-optimal results. We challenge the trend towards hardware-centric decision models for dynamic power allocation and make the case for interfaces that allow software applications to better monitor and control the underlying hardware.
16. Jan 2018
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