An efficient runtime power allocation scheme for many-core systems inspired from auction theory

Wang, Xiaohang; Zhao, Baoxin; Mak, Terrence; Yang, Mei; Jiang, Yingtao; Daneshtalab, Masoud

doi:10.1016/j.vlsi.2014.11.001

Cited by 2 publications

(1 citation statement)

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“…In [ 22 ], a method which combines DVFS and an algorithm which allocates the periodical tasks to the core with the lowest utilization is proposed. An algorithm inspired by auction theory has been proposed in [ 23 ], the cores bid for the opportunity to be active and their power and clock frequency are gated or scaled according to the power allocation decision.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

Xie

Tian

2017

Sensors

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This paper proposes a scheduling and power management solution for energy harvesting heterogeneous multi-core WSN node SoC such that the system continues to operate perennially and uses the harvested energy efficiently. The solution consists of a heterogeneous multi-core system oriented task scheduling algorithm and a low-complexity dynamic workload scaling and configuration optimization algorithm suitable for light-weight platforms. Moreover, considering the power consumption of most WSN applications have the characteristic of data dependent behavior, we introduce branches handling mechanism into the solution as well. The experimental result shows that the proposed algorithm can operate in real-time on a lightweight embedded processor (MSP430), and that it can make a system do more valuable works and make more than 99.9% use of the power budget.

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Section: Related Workmentioning

confidence: 99%

Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

Xie

Tian

2017

Sensors

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A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core Systems

et al. 2017

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Multi/Many-core systems are envisioned to satisfy the ever increasing performance requirements of complex applications in various domains such as embedded and high performance computing (HPC). Such systems need to cater for increasingly dynamic workloads, requiring efficient dynamic resource allocation strategies in order to satisfy hard or soft real-time constraints. This article provides an extensive survey of hard and soft real-time dynamic resource allocation strategies proposed over the last two decades and highlights the emerging trends for multi/many-core systems. The survey covers a taxonomy of the resource allocation strategies and considers their various optimization objectives, which have been used to provide comprehensive comparison. The strategies employ various principles such as market and biological concepts to perform the optimizations. The trend followed by the resource allocation strategies, open research challenges, and likely emerging research directions have also been provided.

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An efficient runtime power allocation scheme for many-core systems inspired from auction theory

Cited by 2 publications

References 38 publications

Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core Systems

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