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Energy-aware real-time multiprocessor scheduling has been studied extensively so far. However, some of the constraints associated with the practical DVS applications have been ignored for simplicity. These constraints include discrete speed, idle power, inefficient speed, and application-specific power characteristics etc. This work targets energy-aware scheduling of periodic real-time tasks on the...
The energy efficiency at the algorithmic level on DVS systems and its analysis and optimization methods are presented. Given a problem the most energy efficient algorithm is not uniquely determined but dependent on multiple factors, including intratask dynamic voltage scaling (IntraDVS) policies, the size of intermediate data structure, and the size of inputs. We show that at the algorithmic level...
This paper proposes a method to efficiently generate hardware from a large behavioral description by behavioral synthesis. For a program with functions which are executable in parallel, this proposed method determines an optimal behavioral partitioning which fully exploits the function-level parallelism with simultaneously minimizing the area in the datapath and control path. This partitioning problem...
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