As multi-cores arrive for mainstream desktop systems, developers must invest the effort to parallelize their applications. We present Parallel Task (short ParaTask), a solution to ...
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
Periodic and aperiodic tasks co-exist in many realtime systems. The periodic tasks typically arise from sensor data or control loops, while the aperiodic tasks generally arise fro...
We investigate the global scheduling of sporadic, implicit deadline, real-time task systems on multiprocessor platforms. We provide a task model which integrates job parallelism. ...
A novel strategy for employing schedules obtained using standard static scheduling algorithms in a battery powered multiprocessor environment is investigated. The strategy is able...