Accurate power modeling is crucial for energy-efficient CPU design and runtime management. An ideal power modeling framework needs to be accurate yet fast, achieve high temporal resolution (ideally cycle-accurate) yet with low runtime computational overheads, and easily extensible to diverse designs through automation. Simultaneously satisfying such conflicting objectives is challenging and largely unattained despite significant prior research.

This paper proposes a novel strategy for optimizing resources in Multi-Processor Systems-on-Chip (MPSoC). The approach is based on using control-loop feedback mechanism to maximize the efficiency on exploiting available resources such as CPU time, operating frequency, etc. Each Processing Element (PE) in the architecture is equipped with a frequency scaling module responsible for tuning the frequency of processors at run-time according to the application requirements. Results show the system's capability of adapting to disturbing conditions. For validation purposes we have implemented a multi-threaded MJPEG decoder together with an ADPCM audio decoder and a FIR.

The increasing infant mortality and wear out failure rates observed in very deep sub micron silicon technologies is now a major problem for the design of future high-density SoCs. Emerging architectures based on Multi-Processor SoCs (MPSoCs) give the opportunity to exploit the natural redundancy to control the system performance in presence of failures. In this paper we evaluate the impact of a distributed fault-handler strategy on the system in term of cost and feasibility. We also discuss strategies for applying this technique to a distributed MPSoC architecture.

The increasing failure rates observed in very deep sub micron silicon technologies pose a major problem to the design of future high-density SoCs. While hardening techniques originated from critical application areas (automotive, avionics) exist, they usually incur a cost overhead that renders them inadequate for consumer market segments. Thus we present a concept, an implementation and an evaluation of a scalable software-hardware detection, isolation and recovery method. The method exploits the natural redundancy that exists in MPSoCs for enhancing their reliability. Based on the assumption that a transient loss of functionality can be tolerated, the proposed scheme relies on a hardware/software framework that makes it possible to diagnose and to isolate faulty processors in a distributed manner. It guarantees the integrity, improves the availability and eases the maintainability of the MPSoC at system-level.