Institute for Systems Research

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    Dynamic Thermal Management Considering Accurate Temperature-Leakage Interdependency
    (2010-07) Shi, Bing; Srivastava, Ankur; Ankur, Srivastava
    In this paper, we develop an accurate dynamic thermal management DTM approach considering the interdependency of temperature and leakage. By modeling the leakage-thermal interdependence as a quadratic polynomial, we develop accurate analytical equations that capture the thermal transient. We also identify all the situations in which thermal runaway would occur, which should be avoided by DTM.We then present a discrete dynamic programming algorithm that performs thermal-aware task and speed scheduling using the model we derived.Compared to a linear leakage-thermal model, owing to our more accurate model, our scheme resulted in 18.2% better performance while maintaining the temperature below constraint.
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    Energy and Thermal-Aware Video Coding via Encoder/Decoder Workload Balancing
    (2010) Forte, Domenic; Srivastava, Ankur; Srivastava, Ankur
    Even with consistent advances in storage and transmission capacity, video coding and compression are essential components of multimedia services. Traditional video coding paradigms result in excessive computation at either the encoder or decoder. However, several recent papers have proposed a hybrid PVC/DVC (Predictive/ Distributed Video Coding) codec which shares the video coding workload. In this paper, we propose a controller for such hybrid coders that considers energy and temperature to dynamically split the coding workload of a system comprised of one encoder and one decoder. Results show that the proposed controller results in more balanced energy utilization, improving overall system lifetime and reducing operating temperatures when compared to strictly PVC and DVC systems.