Variability-Aware Task Allocation for Energy-Efficient Quality of Service Provisioning in Embedded Streaming Multimedia Applications

Multimedia streaming applications running on next-generation parallel multiprocessor arrays in sub-45nm technology face new challenges related to device and process variability, leading to performance and power variations across the cores. In this paper, Quality of Service (QoS), as well as energy efficiency, could be severely impacted by variability. In this paper, the authors propose a run-time variability-aware workload distribution technique for enhancing real-time predictability and energy efficiency based on an innovative Linear-Programming + Bin-Packing formulation which can be solved in linear time.

Provided by: Institute of Electrical and Electronics Engineers Topic: Software Date Added: Jul 2011 Format: PDF

Find By Topic