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Thermal-Constrained Energy-Aware Partitioning for Heterogeneous Multi-core Multiprocessor Real-Time Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Implications of classical scheduling results for real-time systems
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Accurate Temperature-Dependent Integrated Circuit Leakage Power Estimation is Easy
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Energy-aware partitioning for multiprocessor real-time systems
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Leakage-aware multiprocessor scheduling for low power
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Energy minimization for periodic real-time tasks on heterogeneous processing units
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Synthesis techniques for low-power hard real-time systems on variable voltage processors
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Dynamic and aggressive scheduling techniques for power-aware real-time systems
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Thermal-Aware Global Real-Time Scheduling on Multicore Systems
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Energy-Efficient Scheduling for Real-Time Systems on Dynamic Voltage Scaling (DVS) Platforms
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Task partitioning upon heterogeneous multiprocessor platforms
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An Efficient Threshold-Based Power Management Mechanism for Heterogeneous Soft Real-Time Clusters
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Dynamic Power-Aware Mapping of Applications onto Heterogeneous MPSoC Platforms
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Temperature-Aware Scheduling and Assignment for Hard Real-Time Applications on MPSoCs
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Q‐scheduler: A temperature and energy‐aware deep Q‐learning technique to schedule tasks in real‐time multiprocessor embedded systems
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The Thermal-Constrained Real-Time Systems Design on Multi-Core Platforms -- An Analytical Approach
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