A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling precedence-constrained parallel tasks on clusters is challenging because of h...
Ziliang Zong, Adam Manzanares, Brian Stinar, Xiao ...
Abstract. The paper presents an algorithm for scheduling parallel programs for execution in a parallel architecture based on dynamic SMP processor clusters with data transfers on t...
The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous processors to minimize the completion time has been extensively studied. The NPcompletene...
Earlier work has developed the underpinnings of IC-Scheduling Theory, an algorithmic framework for scheduling computations having intertask dependencies for Internet-based computi...
Gennaro Cordasco, Grzegorz Malewicz, Arnold L. Ros...