Paper-Conference

Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes

Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS

Robustness and Energy-elasticity of Crown Schedules for Sets of Parallelizable Tasks on Many-core Systems with DVFS

Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline

Generating Energy-Efficient Code for Parallel Applications Specified by Streaming Task Graphs with Dynamic Elements

Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling

Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm