2007•Journal of Computer ApplicationsRequires access

Dynamic energy-efficiency algorithm for soft real-time multiprocessor system

Zhiping Jia

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Abstract

Combined with Dynamic Voltage Scaling(DVS) and(m,k)-firm model,a completion ratio guaranteed dynamic energy efficiency algorithm named VAP_DY for the execution of dependent tasks on soft real-time multiprocessor systems with multiple supply voltages was proposed.VAP_DY leveraged application's performance requirements,uncertainties in execution time,and tolerance for reasonable execution failures to scale each processor's supply voltage at run-time to reduce multiprocessor system's total energy consumption.Analyses and experiments show that VAP_DY can effectively reduce energy consumption,while guaranteeing both timing constraint and completion ratio.

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What this paper is about

Combined with Dynamic Voltage Scaling(DVS) and(m,k)-firm model,a completion ratio guaranteed dynamic energy efficiency algorithm named VAP_DY for the execution of dependent tasks on soft real-time multiprocessor systems with multiple supply voltages was proposed.VAP_DY leveraged application's performance requirements,uncertainties in execution time,and tolerance for reasonable execution failures to scale each processor's supply voltage at run-time to reduce multiprocessor system's total energy consumption.Analyses and experiments show that VAP_DY can effectively reduce energy consumption,while guaranteeing both timing constraint and completion ratio.

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Available abstract

Combined with Dynamic Voltage Scaling(DVS) and(m,k)-firm model,a completion ratio guaranteed dynamic energy efficiency algorithm named VAP_DY for the execution of dependent tasks on soft real-time multiprocessor systems with multiple supply voltages was proposed.VAP_DY leveraged application's performance requirements,uncertainties in execution time,and tolerance for reasonable execution failures to scale each processor's supply voltage at run-time to reduce multiprocessor system's total energy consumption.Analyses and experiments show that VAP_DY can effectively reduce energy consumption,while guaranteeing both timing constraint and completion ratio.

Key concepts: Multiprocessing, Computer science, Dynamic voltage scaling, Energy consumption, Parallel computing, Voltage, Energy (signal processing), Constraint (computer-aided design)

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