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The big.LITTLE architecture, that is single-ISA heterogeneous multi-core, has been attracted attention as a modern processor architecture. Appropriate power management methods can achieve high-performance and power-efficiency of embedded real-time systems simultaneously. This paper proposes an evaluation framework of OS-level power managements for the big.LITTLE architecture. The proposed framework...
In this paper, we propose the use of a memory system which has partially reliable SPM in order to optimize energy consumption while ensuring required reliability. An allocation method for such memory system is formulated as integer linear programming whose solution leads to energy-optimal consumption while ensuring required reliability. Evaluation shows that proposed method is effective when overhead...
Although energy harvesting embedded systems can work permanently when the chance to harvest energy is steady, it is necessary to adopt an appropriate operation strategy due to the limitation of harvested energy. In this paper, we propose an operation scenario model for energy harvesting embedded systems. The proposed model is defined as a set of operation points selected from periodical candidate...
This paper presents a framework for the purpose of energy optimization of embedded real-time systems. We implemented the presented framework as an optimization toolchain and an energy-aware real-time operating system. Our framework is synthetic, that is, multiple techniques optimize the target application together. The main idea of our approach is to utilize a trade-off between energy and performance...
Scratch-pad memory has been employed as a partial or entire replacement for cache memory due to its better energy efficiency. In this paper, we propose scratch-pad memory management techniques for priority-based preemptive multi-task systems. Our techniques are applicable to a real-time environment. The three methods which we propose, i.e., spatial, temporal, and hybrid methods, bring about effective...
This paper proposes three approaches for allocation of scratch-pad memory in non-preemptive fixed-priority multi-task systems. These approaches can reduce energy consumption of instruction memory. Each approach is formulated as an integer programming problem which simultaneously determines (1) partitioning of scratch-pad memory spaces for the tasks, and (2) allocation of functions to the scratch-pad...
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