HW-SW integration for energy-efficient/variability-aware computing

Abstract

Recent trends in embedded system architectures brought a rapid shift towards multicore, heterogeneous and reconfigurable platforms. This imposes a large effort for programmers to develop their applications to efficiently exploit the underlying architecture. In addition, process variability issues lead to performance and power uncertainties, impacting expected quality of service and energy efficiency of the running software. In particular, variability may lead to sub-optimal runtime task allocation.