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Fault-Tolerant and Energy-Efficient Static Schedules for Multi-Variant Programs

Energy-efficient scheduling of stream processing applications with dynamic tasks

Adaptive crown scheduling for streaming tasks on many-core systems with discrete DVFS

Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes

Reducing Energy Consumption of HMAC Applications on Heterogeneous Platforms

Influence of Discretization of Frequencies and Processor Allocation on Static Scheduling of Parallelizable Tasks with Deadlines