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As MOSFETs (metal-oxide-semiconductor field effect transistor) dimensions enter the sub-micrometer region, reducing leakage power becomes a significant issue of VLSI industry. In this paper, we propose a novel prediction approach to predict idleness of functional units for leakage energy management. Using a state-based predictor, historical utilization(More)
Scratch-pad memory (SPM), a small fast software-managed on-chip SRAM (static random access memory), is widely used in embedded systems. With the ever-widening performance gap between processors and main memory, it is very important to reduce the serious off-chip memory access overheads caused by transferring data between SPM and off-chip memory. In this(More)
Energy optimization is very important for portable and battery-driven embedded systems. With the shrinking of transistor sizes, reducing leakage power becomes a significant issue. In this paper, we propose a novel prediction approach to predict idleness of functional units for leakage energy management. Using a state-based predictor, historical utilization(More)
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