This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
In heterogeneous distributed systems, such as Grids, a resource broker is responsible of automatically selecting resources, and mapping application tasks to them. A crucial aspect...
In this article we introduce a grid runtime system called TGrid which is designed to run hierarchically structured task-parallel programs on heterogenous environments and can also...
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Scheduling of a construction project requires: a) hierarchical decomposition of the project; b) incorporation of risk and uncertainty in the activity time and cost estimates; and ...