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Consideration of Control System and Memory Contributions in Practical Resource-Constrained Scheduling for Low Power

机译:低功耗实用资源受限调度中控制系统和内存贡献的考虑

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This paper presents a fast and efficient heuristic resource-constrained scheduling algorithm that works to reduce power consumption by maximally utilizing the resources operating at multiple voltages while at the same time maintaining a low latency. Unlike other resource-constrained scheduling algorithms, our algorithm also takes into account the contribution from the control system or circuitry as well as the memory required. By doing so, we are able to gain more insight into the items affecting power, area, and timing as well as the tradeoffs. Scheduling with the control system and memory in mind, we see that there is a direct relationship between the number of resources, the number of control cycles, and the memory needed, which affect the overall power, area, and timing. Experimental results show that taking these extra factors into account we are able to achieve an average power savings that is better than the power savings from other resource-constrained scheduling algorithms.
机译:本文提出了一种快速有效的启发式资源受限调度算法,该算法通过最大程度地利用在多个电压下工作的资源同时保持较低的延迟来降低功耗。与其他资源受限的调度算法不同,我们的算法还考虑了控制系统或电路的贡献以及所需的内存。通过这样做,我们能够对影响功率,面积和时序以及权衡的项目有更多的了解。考虑到控制系统和内存的调度,我们看到资源数量,控制周期数量和所需的内存之间存在直接关系,这会影响整体功率,面积和时序。实验结果表明,考虑到这些额外的因素,我们能够实现比其他资源受限的调度算法节省的平均功耗更好的功率。

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