A Bayesian model that predicts the impact of Web searching on decision making
Journal of the American Society for Information Science and Technology - Research Articles
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme
Proceedings of the 47th Design Automation Conference
Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Dynamic reconfiguration techniques are widely used for efficient system optimization. Dynamic cache reconfiguration is a promising approach for reducing energy consumption as well as for improving overall system performance. It is a major challenge to introduce cache reconfiguration into real-time embedded systems since dynamic analysis may adversely affect tasks with real-time constraints. This paper presents a novel approach for implementing cache reconfiguration in soft real-time systems by efficiently leveraging static analysis during execution to both minimize energy and maximize performance. To the best of our knowledge, this is the first attempt to integrate dynamic cache reconfiguration in real-time scheduling techniques. Our experimental results using a wide variety of applications have demonstrated that our approach can significantly (up to 74%) reduce the overall energy consumption of the cache hierarchy in soft real-time systems.