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Energy-performance management in battery powered reconfigurable processors for standalone IoT systems
International Journal of Information Technology Pub Date : 2020-04-30 , DOI: 10.1007/s41870-020-00454-4
Ahmadreza Motaqi

Reconfigurable processors are gaining more attention in battery powered portable platforms like IoTs. As the FPGA based reconfigurable processors are power hungry and the energy source is limited in battery powered system, energy management is vital for such systems. This paper addresses an energy-performance management method in battery powered reconfigurable processors for standalone IoT systems. It considers battery characteristics and nonlinearities to select the best set of task types with respect to energy-performance management policies while satisfying area and energy consumption constraints in different situations. The proposed method decides based on battery level and rate of discharge to adopt two different strategies: (1) energy-performance trade-off, (2) energy minimization. The proposed method benefits from three tools to reduce the power consumption: (1) reducing the total number of performed reconfiguration during the battery life, (2) using battery-ware scheduling, (3) reducing occupied resources. The results show that the energy-performance management system extends battery lifetime by 34% in energy minimizing scenario. Moreover, it boosts the average performance by 31% while extending the battery lifetime by 25% in the complete discharging scenario. In the situation that the battery is charging, the energy-performance management system has achieved an increment of 74% in performance compared to (3).

中文翻译:

独立物联网系统的电池供电可重配置处理器中的能源绩效管理

在电池供电的便携式平台(如IoT)中,可重新配置的处理器越来越受到关注。由于基于FPGA的可重配置处理器耗电,而电池供电系统中的能源也受到限制,因此能源管理对于此类系统至关重要。本文介绍了独立物联网系统的电池供电可重配置处理器中的能源绩效管理方法。它考虑了电池的特性和非线性,以针对能源绩效管理策略选择最佳的任务类型集,同时满足不同情况下的面积和能耗约束。所提出的方法基于电池电量和放电率来决定采用两种不同的策略:(1)能量与性能之间的权衡,(2)能量最小化。所提出的方法受益于降低功耗的三种工具:(1)减少电池寿命期间执行的重新配置的总数,(2)使用电池器调度,(3)减少占用的资源。结果表明,在最小化能耗的情况下,能源绩效管理系统将电池寿命延长了34%。此外,在完全放电的情况下,它将平均性能提高了31%,同时将电池寿命延长了25%。在电池充电的情况下,与(3)相比,能源绩效管理系统的绩效提高了74%。结果表明,在最小化能耗的情况下,能源绩效管理系统将电池寿命延长了34%。此外,在完全放电的情况下,它将平均性能提高了31%,同时将电池寿命延长了25%。在电池充电的情况下,与(3)相比,能源绩效管理系统的绩效提高了74%。结果表明,在最小化能耗的情况下,能源绩效管理系统将电池寿命延长了34%。此外,在完全放电的情况下,它将平均性能提高了31%,同时将电池寿命延长了25%。在电池充电的情况下,与(3)相比,能源绩效管理系统的绩效提高了74%。
更新日期:2020-04-30
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