Publication | Closed Access
Run-time resource management based on design space exploration
10
Citations
7
References
2012
Year
Unknown Venue
Cluster ComputingHeterogeneous ComputingEngineeringDynamic Resource AllocationComputer ArchitectureRun-time Resource ManagementEmbedded SystemsSocial SciencesEmbedded System DesignSystems EngineeringParallel ComputingPower-aware SoftwarePerfect BalanceDesign Space ExplorationPower-aware ComputingDesignDistributed Resource ManagementComputer EngineeringPower ConsumptionRuntime SystemSoftware DesignArchitectural DesignEdge ComputingCloud ComputingPower-efficient ComputingSystem Software
A main challenge in today's embedded system design is to find the perfect balance between performance and power consumption. This paper presents a run-time resource management framework for embedded heterogeneous multi-core platforms. It allows dynamic adaptation to changing application context and transparent optimization of the platform resource usage following a distributed and hierarchical approach. A Global Resource Manager (GRM) is running in parallel with the central manager of the application on the host processor of the platform. Each IP core of the platform can execute its own Local Resource Manager (LRM), and the GRM conforms to practices of each LRM.
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