SAVE: Towards efficient resource management in heterogeneous system architectures

Abstract

The increasing availability of different kinds of processing resources in heterogeneous system architectures associated with today's fast-changing, unpredictable workloads has propelled an interest towards systems able to dynamically and autonomously adapt how computing resources are exploited to optimize a given goal. Self-adaptiveness and hardware-assisted virtualization are the two key-enabling technologies for this kind of architectures, to allow the efficient exploitation of the available resources based on the current working context. The SAVE project will develop HW/SW/OS components that allow for deciding at runtime the mapping of the computation kernels on the appropriate type of resource, based on the current system context and requirements. © 2014 Springer International Publishing Switzerland.